A crucial component of creating high-quality software is testing. Although regression testing in Quality Assurance is one of the most crucial and time-consuming aspects of testing, it is also one of the most error-prone. To make sure that new and live functionalities of an application continue to perform properly, testers run regression tests. In this testing strategy, the quality analyst examines both the functional and non-functional parts of the current features to make sure there are no new problems or faults in the application.

Regression testing goes beyond simply repeating past test cases; it makes sure that new features work with the current ones without causing current or future system failures. To guarantee that your software is always functional and meets or surpasses your expectations, Concetto Lab offers the best software regression testing services.

You must first understand what a software regression testing example is before you can appreciate its significance and advantages. Regression testing guarantees that the program continues to work as intended following updates, code changes, integration with third-party programs, etc.

What is Regression Testing?

Fundamentally, regression testing in Quality Assurance involves going over previously tested code again to make sure that recent modifications haven’t affected current functioning. When adding new features, modifying current ones, or fixing faults in software, this type of testing is crucial. Its main objective is to detect any unexpected consequences that these modifications may have on the software’s intended non-changing components.

Example: A group of developers creates an online e-commerce store. To examine every facet of the application, the testing team develops a thousand test cases. The QA team does regression testing by generating 100 new test cases and running the prior 1000 again after introducing new features or upgrades. This guarantees the software remains high-quality and the website functions as planned.

Regression testing becomes even more crucial when programs become more complicated since changes made to one part of the code may affect other parts that developers may have considered to be “safe.”

What is the Importance of Regression Testing?

Imagine that after adding a new feature, users are unable to log in at all. Regression testing is useful in this situation. By identifying problems early on, it stops these kinds of catastrophes before they get worse.

Regression testing ensures that the addition of new features hasn’t unintentionally impacted any of the software’s already-existing functionalities. Because the repository of test cases from past software releases grows, it becomes more and more important as software ages.

Regression testing is necessary to assess the application’s general functionality following changes made for a variety of reasons, such as:

1. Finding Regression Defects: Regression testing aids in the identification of any inadvertent flaws or problems that might have been introduced during the creation or modification of software. These tests aid in evaluating the upgrade’s functioning. Regression tests find any faults or bugs in the application’s current functions and make sure the change doesn’t affect the software’s existing features. It also aids in finding errors in the recently pushed code.

2. Ensuring Stability: This type of testing confirms that after modifications, the software’s current functionality is still present. It contributes to the software’s stability by assisting in the detection of any unusual behavior or problems that can affect the user experience.

3. Risk mitigation: It involves identifying and reducing potential hazards connected to changes through thorough regression testing. It assists in averting unforeseen problems, system malfunctions, or performance deterioration that can affect user happiness or corporate operations.

What are the Types of Regression Testing?

In software development, regression testing comes in a variety of forms. Here are the main categories.

1. Regression Correction Testing: is employed when the product specification remains unchanged.

2. Retest all Regression Testing: Check that all system specs are as stated in the original document and examine any small modifications made to the software.

3. Selective Regression Testing: Utilizing a portion of the current test cases, selective regression testing reduces the time and expense required for retesting by determining how the code responds to the addition of new code.

4. Progressive Regression Testing: Developing new test cases and making particular program modifications results in meaningful outputs from progressive regression testing.

5. Complete Regression Testing: When there are frequent modifications made to the current code or when the new updates significantly affect the software as a whole, complete regression testing is used.

6. Partial regression testing: Verifies that a system operates as intended and confirms problems that arise when new code is merged into an existing one.

7. Unit Regression Testing: Code units independently, without dependencies or interactions, is the primary focus of unit regression testing.

What are the Reasons to Invest in Regression Testing?

It should be quite clear from the statement above why regression testing is important: it ensures that an application’s code modifications don’t affect its ability to function as intended.

However, a closer examination reveals that the advantages of effective regression testing fall into three main categories:

1. Confidence in User Experience: It is no secret that users have higher expectations than ever before. A single bug, no matter how small, can have a big influence on user retention and satisfaction for customer-facing applications. Regression testing done correctly guarantees a stable and error-free user experience, building user loyalty and trust.

2. Cost-Efficiency: Although regression testing may appear to be an extra expense, it is significantly less expensive than post-release patch costs, particularly when taking into account the potential loss of customer trust and reputational harm.

3. Quick Releases: Regression testing gives teams the safety net they require in settings that prioritize continuous delivery or quick release cycles. Teams can roll out updates and new features more quickly and with confidence knowing that modifications haven’t affected any of the features that are already in place.

Benefits of Regression Testing

1. Stops the “Domino Effect” on Important Features:

Modifications to the code, no matter how small, can have a big impact on important features of the product. Regression testing aids in the early detection of these problems, averting significant efforts to undo the harm.

2. Aligns with Agile Methodology:

By continuously iterating, integrating, and testing new code, regression testing promotes Agile principles. This prevents a build-up of broken code as the production date approaches by enabling more frequent releases and quicker feedback loops.

3. Allows for CI/CD Pipelines:

Regression testing is one of the automated tests used by Continuous Integration/Continuous Deployment (CI/CD) to make sure that new code integrations are continuously tested. This finds optimization options, such UX enhancements, in addition to helping detect problems.

4. Finds Visual defects:

Visual regression testing is essential for identifying visual defects brought on by code modifications. Regression testing is not just about functionality. Automated regression testing are a fast way to find problems with different devices and browsers, such as non-clickable buttons or misaligned graphics.

5. Ensures Quality Despite Multiple Modifications:

Regression testing serves as a quality filter for products that experience numerous modifications. It makes sure that every change makes the product better without creating new problems.

6. Reduces the Time and Effort Needed for Manual Testing:

Automated regression tests greatly reduce the time and effort required for manual testing. QA teams can concentrate on more intricate testing scenarios and other important responsibilities because of this efficiency.

7. Enhances Test Coverage:

Regression testing on a regular basis covers more ground in terms of testing the application over time. This thorough approach contributes to the preservation of overall software quality.

8. Supports Standards and Compliance:

Regression testing on a regular basis guarantees that the application complies with regulatory requirements and industry standards, which is crucial for preserving the security and integrity of the final product.

How to Perform Regression Tests on Software or Websites?

To conduct these tests, follow these three steps:

Step 1: Test data, test cases, test scripts, and other necessary resources must be ready to conduct human and automated tests.

Step 2: Determine which updates or modifications to the application’s current modules may affect its functionality: To concentrate your testing efforts, you must clearly define the portions of the application that will be impacted by the upgrades or modifications.

Step 3: Once the impacted functionalities have been identified, you may utilize both manual and automated tests to confirm that the upgrades or changes have not had a negative impact on those functionalities.

The most often occurring regressions that require testing involve features like checkout, search, and log in. You can use a variety of techniques, including functional testing, comparing the application’s output to expected outcomes, and employing automated testing tools like Concetto Labs, to find these regressions.

Factors to Set Up Regression Testing Module Strategy

Developing a strong regression testing plan is essential to maintaining software quality as it changes. Here’s a quick start guide to get you going:

1. Evaluate Your Application: To begin, make sure you comprehend the structure and elements of your application. The testing focus will be determined by identifying the more vulnerable regions, have high business effects, and are change-prone.

2. Set Test Case Priorities: Testing everything at all times is not practical. Determine which functionalities are essential and which, if damaged, would have the most impact based on your assessment. Additionally, note sections that undergo frequent modifications as these are more prone to new flaws.

3. Test Data Management: Make sure you have a solid plan in place for obtaining test data, either synthetic or genuine (anonymized). It’s crucial to strike a balance between data quality, realism, and privacy, as this article will discuss later.

4. Select a Testing Mix: Select a combination of full regression tests and partial (or targeted) tests based on the size and frequency of releases of the application. For example, large releases require comprehensive regression, whereas hotfixes may only require targeted testing.

5. Automate Strategically: Manual testing is time-consuming and prone to irregularities. For automation testing services to achieve speed and accuracy, identify high-priority and repetitive test cases.

6. Continuous Integration: Include your regression tests in an environment that uses Continuous Integration (CI). This guarantees that tests are launched automatically each time a change is made to the code, encouraging prompt feedback to the development team.

7. Examine and Revise: Update and examine your regression test suite on a regular basis. Certain tests might become outdated as the software develops, and new ones will have to be added.

You’ll need specialized tools to put these techniques into practice (the testing landscape is full of various tools; the list below is not an entire list, but rather a brief synopsis of several well-known alternatives):

8. Test Automation: Manually doing regression tests is simply unmanageable, particularly for large-scale applications. Selenium and Playwright used for web applications testing services and Appium for mobile applications testing services are a few well-liked options to take into account when automating application tests;

9. CI/CD Integration: To fully utilize automation and create a smooth workflow, you may incorporate regression testing into your development pipeline with the aid of tools such as Travis CI or Jenkins.

10. Data management: To create, store, and use your test data, you may require a variety of tools, depending on the data method you choose.

What are the Challenges Faced in Regression Testing?

Regression testing presents the following difficulties:

• Test suites typically get larger as regression testing goes on. However, it becomes challenging to run the full test suite because of time and financial constraints.
• Setting up regression tests at regular intervals—for example, after each build update, modification, or problem fix—is difficult and needs careful planning.
• It can be difficult to strike a compromise between maximizing test coverage and reducing the size of the test suite.

Final Thoughts

Effective regression testing is crucial to ensuring that both new and old software features work together as part of a thorough QA testing plan. Businesses can gain more control over their costs, efforts, resources, and time by investing in the careful development and implementation of regression testing procedures. This tactical approach highlights the critical role that QA testing plays in the development process and makes a substantial contribution to improving the quality of software products with quality engineering services.

Using the right tools, adhering to best practices, and comprehending the many forms of regression testing can all assist to speed up the regression testing procedure. Therefore, keep in mind the value of careful planning and its influence on the overall quality of software if you are thinking of cutting regression testing to achieve deadlines.

The post Importance of Regression Testing in Quality Assurance: Final Guide appeared first on Blog Concetto Labs.

Automation has gradually permeated every industry, starting with the earliest computers and continuing through the current smartphone. It is also altering our perspective on day-to-day living. We have now entered a new era of technology with the introduction of robotics and the impact of Artificial Intelligence.

Nowadays, having a strong automation system is necessary for developing software. In a perfect world, the system would run tests on several devices simultaneously, speeding up the results. Additionally, it gives engineers more time to develop new test cases, develop tools for thorough testing, and participate more actively in reviewing code. They can create new scripts and code rather than repeating the same test several times.

But considering how essential automation testing is to the procedure, one needs to be aware of its drawbacks. Automation pipelines will almost definitely encounter certain obstacles or loopholes, and teams can better manage these problems if they are aware of them.

What Role Does Automation Testing Play in Business Growth?

The primary motivation for using automated testing is to provide a superior product with outstanding performance and benefits. With a quicker time to Market (TTM), it leads to a notable decrease in maintenance expenses and a notable boost in software performance. Because automation challenges eliminate the need for human intervention in any way except test maintenance, it can result in significant cost savings. The main goal of the automation testing service is to use scripts to simplify testing.

What are the Challenges in Automation Testing?

One of the main elements of a software development company is an efficient continuous testing process. End-to-end automated testing is required for continuous testing to understand application quality better early in the development cycle.

It is as good as it sounds. But switching to an automated testing technique usually requires addressing common errors, which can make this phase difficult, just like any other development process.

Check out the major challenges in Automation testing and how Concetto Labs will overcome those challenges.

1. Network Disconnections

Network disconnection is an automated issue that QA teams commonly face. This causes them to have trouble accessing databases, VPNs, third-party services, APIs, specific testing, etc. due to unstable network connections. Network failure causes unnecessary delays and trouble in the test automation process.

In addition to disconnections, the inability to access virtual environments, which testers typically use to test applications is the other reason for concern. To address the issues as soon as they arrive and keep the entire software delivery pipeline unaffected, QA teams must have an effective monitoring system.

2. Cost Factor

The fact that test automation has grown to be an essential component of software testing should come as no surprise. In addition, automation is expensive, particularly in the beginning. As a result, if money is less, you need to give it another thought because the implementation will be more expensive and involve software license fees. Similarly, choosing an open-source solution will result in training and maintenance expenses, which balances everything out. Therefore, be sure to properly pitch the management.

3. Communications and Collaborations

Without Cooperation, automation testing services are unable to operate. Compared to manual testing, it undoubtedly necessitates greater communication between all parties involved and commercial alike.

A plan must be discussed with developers, business analysts, project managers, technical architects, and even a sample group of customers to determine which tests need to be automated. The test plan, scope, and timeline of the test strategy need to be as precise as possible right from the beginning because automation technologies need a substantial financial outlay.

4. Test Script Problems

If QA teams lack the necessary coding skill sets, they can encounter a variety of issues with test scripts. Teams can tackle these concerns and maintain their code by using the reusability of the reuse test scripts. By executing test code as production code, they can maintain the code. In addition, it is important to plan debugging sessions, identify critical problems with object identifiers, and conduct periodic code testing.

5. Choose an Appropriate Tool

The most important aspect of the testing process is choosing the appropriate tool. A lack of knowledge might cause problems throughout the entire development process. Typically, testing includes functions, regression, unit, integration, and other tests. Aside from that, the difficult issue is determining if your project requires manual or automated testing. Before choosing any tool for the project, be sure to take a close look at these factors:

• Get details about the project requirement
• Technical help and support
• Hassle-free maintenance
• Costing

6. Testing Accuracy

Executing processes on out-of-date data will result in erroneous outputs, which are among the most frequent automation errors. To prevent such errors, a team must be in sync with one another through a single channel that facilitates straightforward communication. However, to boost efficiency, QAs must also work on a solid analytical solution.

7. Upfront Investment

Implementing outlay usually involves a costly initial phase. The process involves analyzing, designing, and constructing libraries, reusable functions, and other automation framework components. In a few situations, license fees can be additional to the regular operating expenses. It is important to consider the expenses associated with training testers to use open-source technologies like Selenium or Appium, as well as the setup costs for a device grid.

8. Captcha and OTP Handling

As everyone is aware, OTP and Captcha values fluctuate with each creation, making them unpredictable and impossible to resume. For instance, automating payment gateways, registering new users, and other services that demand Captcha and OTP are challenging tests.

This might also be interpreted as evidence that human testing is inevitable and that an application cannot be entirely automated.

Also Read: What is Mobile Automation Application Testing Process? – Check out the Details

9. Fixing Code Smell

A code smell is essentially a feature’s program’s code that detracts from the design quality. Upholding the code quality is crucial for testers as well as programmers. Code smell issues can assist a QA team in achieving:

• Quick test results in less execution time
• Contributes to strengthening the automation test suite
• Cut down on the amount of work and money needed for upkeep.

Manual reviewing is not able to detect the majority of code smells. The usage of automated code review techniques to find every bad smell present in the source code is common.

10. Data Dependency Issues

One of the main issues with test automation is test management. The data must be in a specific state for the test script to execute, otherwise, it can cause serious issues in various situations. Eg: what would happen if the test script was executed concurrently in various test environments and configurations?

Will it work in other script instances that use the same data? Any changes made to the data in one test execution instance have the potential to break another.

How to Overcome the Test Automation Challenges?

Check out the solutions to overcome the test automation challenges:

1. Use Specialized Automation Tools

To get over the difficulty of choosing the best automation testing tool, it is usually advisable to choose industry-leading tools because they are reputable and used by various top firms. Additionally, there is great community support available for these products.

2. Examine the Requirement for Test Automation Tools

To overcome the challenge of choosing the best test automation strategy, testers should first determine the need for test automation. They can then brainstorm on how to frame an effective test automation strategy based on business needs, current IT infrastructure, technology stack, tools required, etc.

3. Use of Test Automation and Manual Testing as Necessary

To get around the problem of having high expectations for test automation service, it is usually advisable to use both automated and manual testing. Not every circumstance calls for automated testing.

4. Invest Gradually in Automation Tools and Technology

To get around the problem of large upfront investment expenses, it is advisable to embrace automation tools and technology gradually as opposed to investing all at once.

5. Use Cloud-Based Testing Platforms, Simulators, and Emulators

To overcome the difficulty of testing an app in a diverse environment, it is advisable to use simulators, emulators, and cloud-based testing platforms rather than obtaining genuine devices.

6. Manage Test Cases, Test Scripts, and Testing Environments Appropriately

To address the issue of tests brought on by false positives or false negatives, it is always advised to manage test cases, test scripts, and testing environments appropriately.

7. Adopt DevOps Processes

To address the issue of inadequate teamwork, it is recommended to embrace and implement DevOps procedures that break down the divisions between testers and guarantee smooth cooperation.

8. Implementing Regression Testing

Regression testing is a useful tool for ensuring upgrades or modifications to an application’s code that does not interfere with its operation. This helps to maintain feature performance and stability. To finish testing in less time, TestCase Prioritization is required due to the large number of regression tests.

Conclusion

The type and scope of your automation testing, your budget, and the automation tool’s compatibility with the technological and business-related needs of your company can all help you determine the deal.

A test automation tool selection process should take your organization’s technical and business requirements into account, as well as the type and scope of your automation testing and budget. It is important to start early and monitor for top common test automation hurdles because QA teams occasionally encounter difficulties and failures with test automation.

Hire QA engineer from Concetto Labs, if you are in search of a one-stop solution for test automation tools to expedite the creation and execution of test cases. It enables you to conduct automated tests in a massive cloud test lab by providing a consistent end-to-end test automation platform.

The comprehensive analytics and report tool facilitates the retrieval of dynamic test reports at every level, enabling the analysis of test care outcomes and prompt resolution of critical problems.

The post Which Are The Top 10 Test Automation Challenges And How To Overcome Them? appeared first on Blog Concetto Labs.

Artificial intelligence has introduced new possibilities and efficiencies for software testing. The demand for efficient, faster, and reliable testing processes is increasing with the complexity of modern application development. To handle such challenges, AI has introduced the field of automated software testing. By using AI algorithms, advanced analytics, and machine learning, it is possible to make remarkable changes in the software testing process. This process has helped organizations speed up the testing process with proper accuracy and coverage in their testing evaluations.

Here, we have described the impact of AI on the software testing process in terms of its capabilities and benefits. Indeed, the software testing life cycle doesn’t get affected when using AI. It follows the same cycle of requirement gathering, test planning, test case creation, setting up a test environment, test execution, and test closure. To understand the potential grip of AI on the future of software quality assurance, let’s understand more about AI.

How Does AI Help in the Software Testing Process?

This description is to enlighten the role of artificial intelligence in assisting QA while doing the process of software testing. We are going to describe key aspects of transformation.

1. Automatic test case update: AI algorithms monitor the application and the changes that happen to the application so that they can change the test cases accordingly. It dynamically updates the test cases to reflect the modifications. Due to this, the efforts required to maintain the test scenarios get reduced, and the process becomes effective over a certain period.

2. Visual Locators: These visual locators in AI applications focus on the visual elements of the applications, such as user interfaces and graphical components. During the automation testing, AI can analyze the screenshots and images. It monitors the interaction between the visual elements of the application. This can increase the accuracy of the testing and provide a seamless user experience for the clients.

3. Self-healing tests: AI for testing is capable of detecting failures or unpredictable behavior of an application while monitoring the test executions. Whenever any issue arises, AI can attempt a self-healing process to resolve that issue automatically. It adjusts the test environment and resolves the problem. This mechanism can reduce disruption and save time.

4. Elastically scale load, performance, and functional testing: AI in software testing solutions can effortlessly do resource allocation, through which optimum resource utilization can be achieved. This ensures that comprehensive testing coverage is possible through AI while maintaining its efficiency.

5. AI-powered predictive bots: AI-powered predictive bots are an advancement in the software testing process. Bots manipulate the ML algorithms in a way where predictions about the risk of potential defects can be identified. It analyzes historical data, trends, and patterns and draws judgments from them. By predicting potential issues proactively, bots contribute to the effectiveness of the software testing process.

6. Analytics of Test Automation Data: AI is capable of analyzing the vast amount of data during IoT App Testing, which can help in enhancing testing strategies and optimizing testing efforts. AI-powered analytical tools can significantly identify trends, anomalies, and patterns and provide valuable information for test improvement. This process can help the testing teams make proper decisions and work on hidden patterns that might have been ignored by traditional methods.

Benefits of Using AI in the Software Testing Process

AI finishes all the tasks assigned to it by a person, and after completing certain tasks, it learns from the tasks. Over time, AI improves its performance by learning from previous tasks.

Let’s Learn About the Advantages of AI for Software Testing.

• Early defect detection: AI is capable of finding defects earlier for quicker resolutions.
• High-quality test cases: AI has the capability of creating test cases according to needs. Even with the change in requirements, it can generate test cases for regression tests and API tests.
• Reduction in Cost: AI reduces manual testing efforts, which helps in saving costs, fast delivery to market, and quick resource allocation.
• Consistency and repeatability: AI consistently executes test cases and monitors them, which helps in generating more reliable results.
• Swift Feedback: AI can perform parallel test execution on multiple devices. This helps in testing the feedback cycle from stakeholders.

Let’s Have a Look at a Few Available Open-source Testing Tools.

When we are about to choose an open-source testing tool, it is necessary to consider several factors. Firstly, it is essential to verify that the tool we are going to choose is actively maintained and supported. Also, look for the technical expertise of team members using the tool. Furthermore, it is essential to check that the benefits, features, and challenges presented by the tool are in sync with your requirements.

A few Popular AI Open Sources are Listed Below:

• Test Project: It has been offered as the first free Appium AI tool in 2021, with an expansion upon the AI tools for Selenium previously introduced in 2020 for self-healing technology.
• Carina: It is an AI-driven tool with a scripless automated function. It is free forever and is used for performance, visual, and compatibility testing of software.
• Cerberus Testing: It is a low-code and scalable test automation solution that offers a self-healing feature with a forever-free plan.

Conclusion:

AI transforms traditional testing methods, enhancing efficiency, effectiveness, and reliability, making AI-based automation essential for modern organizations’ quality assurance. AI has revolutionized the traditional way of testing, and it has improved the efficiency, effectiveness, and reliability of the quality analysis process. AI-driven techniques such as anomaly detection, NLP, ML, and intelligent tests have improved the quality standard of organizations. It allows organizations to achieve higher test coverage, streamlined test script creation, early defect detection, and adaptive test maintenance. AI integration with automated testing not only speeds up the process but also improves overall quality. Organizations must adopt AI-based automation testing in their Software Testing and QA Services.

AI is continuously evolving, and it has the potential for advancement in automation testing. Cocettolab is the best company for SAAS Testing Services. If you are looking for an organization working on AI automation, you are in the right place. Because embracing the power of AI in automation testing is not only a strategic necessity for an organization but also a competitive advantage for one’s business,

Are you ready to start using AI for your end-to-end testing?

Contact Us

The post Revolutionizing Software Testing with the Power of AI appeared first on Blog Concetto Labs.

Interoperability testing is a type of testing where we check if a component of software can interact with other software components. Here, we compare the functionality of one software with the other one as per the client’s requirements. It makes sure that end-to-end functionality validation is as per the requirement. This testing has become an essential part as different kinds of technologies and architectures are being used in creating interoperability software. Interoperability can improve efficiency, scale data sharing, and access, and encourage competition and innovation.

Why is it Essential to do Interoperability Testing?

• The need for interoperability testing came into play because it is significant to check that end-to-end service is provided across two or more software products. This system can belong to different vendors, or it may have a different architecture with distinct technologies.
• It is good if the communication between two different software or systems is smooth and easy. They should not have any compatibility issues while interacting with each other.
• All the components involved in each piece of software, such as different architectures, vendors, technologies, and products, must be in working condition. There should not be any issues with the components involved in the system.
• Data exchange between different systems should be in its original state before and after. It must be checked that all the applications within the network are performing according to their expected behavior.

Let’s Understand the Process of Interoperability Testing.

Here, we have mentioned the steps to follow for interoperability testing.

1. Test Environment Setup: In the very first step, the environment for testing needs to be set up. Without an environment setup, testing cannot be performed.

2. Test Case Creation: Test cases need to be created based on the connectivity of the systems. Different types of test cases should be created so that testing can be performed in an effective way.

3. Test Case Execution: After the test case creation, execution based on the test cases will be performed so that all cases can be covered for a better result.

4. Test Result Analysis: After the execution of the test, the test result comes into the picture for analysis, whether it meets the requirement or not. Based on the results, defects can be created.

5. Retest: If the final result has not solved the defects created during the test, then a retest should be performed.

What Should be Tested for Interoperability in the IoT?

There are various protocols used on the Internet of Things, which include Wi-Fi, Bluetooth, Zigbee, etc. These all allow devices to communicate and share their data. That’s why it is important to test the communication between those protocols.

1. Ensure Smooth Communication in the IoT.

It is essential to arrange to test the interaction between multiple devices. This test includes how well devices perform while interacting with each other. Is the data being transferred securely? Thus, it is mandatory to check the interaction between devices for a better user experience.

2. Backward Compatibility

Backward compatibility is the other significant area to test. For example, if one user has purchased a new IOT device, then it must be checked to see how this new device interacts with other IOT devices. By doing this, it can provide extraordinary solutions, except for its uniqueness.

3. Try to make IoT devices Speak the Same language.

Compatibility of data and data translation is one important area to test in the interoperability of IoT testing. Data translation includes verifying that data has been translated correctly or not between the systems. Data compatibility includes checking whether the data has been exchanged in the correct format or not. These are the significant tests in the system to ensure that data is not lost.

Also Read: Which are the Best Smart Home Automation Apps?

4. Bridge the gap Between IoT Devices

IoT app testing requires compatibility across platforms. To identify the compatibility issues between devices User interface testing, compatibility testing, platform-specific testing, localization testing, edge case testing, and accessibility testing are essential.

5. Future-proofing

In the future, homeowners may use new IoT devices in their smart homes. It may come from different manufacturers; therefore, backward compatibility should be there for better performance.

6. Pass Through the Interoperability Challenge.

In IoT interoperability testing, integration with third-party services is critical. It
It is essential to check that the devices can connect and exchange data with third
Party system. It assures that a sustainable connection has been created.

Conclusion

Interoperability testing is one of the most important test processes to identify the behavior of the system while it interacts. And, IoT devices are not only dependent on the advancement of devices but also on the communication and cooperation of the devices too. Through interoperability and automation testing, we can identify the connectivity of an innovation.

We should keep in mind that interoperability testing is not an easy one. It should be done with proper planning and strategy using the data, information, and experience received from the past. Interoperability testing guarantees the quality of the system. It can ensure that systems and applications can interact independently and uninterruptedly.

Thus, to create better use of IoT devices, it is essential to perform interoperability testing for all, whether it belongs to a developer, a manufacturer, or a consumer. Concetto Labs has good skills in interoperability testing services. You can approach us for creative and innovative projects.

The post How Interoperability Testing Important for IOT ? appeared first on Blog Concetto Labs.

Nowadays, Digital presence has become the most significant part for any business to survive in the modern era of technology. Physical stores have their place, but online marketing is a crucial part of the process. Digital interaction via the internet has increased the certainty of the web and mobile apps. Thus, having a web page plays an important role in customer engagement.

Here, web app development experts can suggest the overall outlook of your app. However, multiple web browser is an issue for the developers as a user can visit any of the browsers and web developers must ensure that the web page should appear the same in each of them. It has created an additional challenge of ensuring a web browser in each browser. This shows that web browser compatibility becomes an important checkmark in the to-do list of developers for generating successful business experiences. Let’s understand more about it.

What is Cross-Browser Compatibility Testing?

Cross-browser compatibility testing is the crucial quality assurance process during the web development process. It involves testing web pages in different browsers to ensure that a website or web application appears and functions likewise in each of those.

Each web browser has been developed by different companies and has unique rendering engines, they may have interpreted their CSS, HTML, and JavaScript code differently. This can bring most of the time UI UI-related issues and a couple of times functional issues for those who access the site. To resolve such issues hire website designer who works with browser compatibility assurance.

How Cross-browser and Compatibility Testing are Different From Each Other?

Cross-browser testing focuses on the functionality that works correctly across different browsers. The main focus is to check the behavior among distinct browser rendering engines. While compatibility testing is a broader version of testing. It includes not only browsers but also different devices, operating systems, screen sizes, and network conditions among different environments.

There are 3 Main Browsers for Cross-browser Testing

1. Chrome: It is the most popular browser among users. Integration with Google accounts on multiple devices is easy. It has strong features, including features of extension via Google Web. Due to easy navigation, password management and data sync, Google Chrome is the most used browser.
2. Mozilla: It is one of the oldest browsers, longer than Chrome which makes it easy to run old websites. It has support for the latest HTML and CSS. So it is the second most demanding browser among users.
3. Safari: This is the unique browser for all iOS and Mac devices. This was the first browser that introduced reading mode. It works well across all Apple products, and it is faster than Chrome and other browsers.

What are The Common Issues in Cross-browser Compatibility?

1. Differences in rendering web pages
2. Compatibility issues with third-party libraries and framework
3. Inconsistency in styling of CSS
4. Compatibility issues with plugins like Java or Flash
5. Browser specific issues

Let’s find out the browser compatibility testing checklist

well-structured for all browsers and devices. You can hire qa engineer at Concetto Labs as we work on the following checklist for each project.

• Check for validation: The code validation process is the best practice for ensuring code compatibility. This process covers revisiting HTML and CSS codes written by developers. Even minor issues present there can create more significant issues. Thus, it is good to recheck the code before making it live. There are many validation tools available in the market which makes the process easy.
• Create a Systematic Process: Here, we need to balance browser compatibility testing and web development. Whenever the developer completes the initial stage of development, the tester should start testing of completed parts. This can help in identifying the cross-browser compatibility issues in an earlier stage of development.
• Use Proper Framework and Libraries: To decrease the rate of compatibility issues, developers should opt for selective frameworks and libraries. jQuery, react JS, and Angular JS are the popular JavaScript libraries, while Bootstrap, Foundation, and 960 Grid are suggested CSS frameworks. These options help developers to improve the quality of software.

What are the Best Tools Available for Cross-browser Testing?

• Browser Stack: It is a mobile and web-based testing tool. It helps in operating the same website or app on multiple browsers and devices for compatibility tests.
• LamdaTest: This is a cloud-based cross-browser testing platform that allows users to run manual and automated tests on multiple browsers and operating systems.
• Selenium: Selenium is very popular for automation testing. By making a simple change of browser in the script, test case execution for different browsers can be arranged with a single click.

Conclusion

Cross-browser compatibility testing is an important process to deliver quality solutions. The situation became more complicated due to the availability of different devices in the market. Due to that, cross-browser compatibility of the website is more challenging. To connect with our web development expert, you can contact us.

However, with the right website development strategy and accurate test planning, we can achieve compatibility. Concetto Lab is a leading UI/UX designing company where you can hire a website designer to work on your website to get a browser-compatible website.

The post What is Cross Browser Compatibility Testing? Here are Some Best Practices appeared first on Blog Concetto Labs.

The use of mobile applications is increasing in technologically advanced society and these applications are becoming an essential component of daily life. Users can transact for a variety of activities seamlessly due to mobile applications that offer significant convenience. More significantly, to provide a unique user experience (UX), organizations should ensure that their mobile applications are completely functional, scalable, and easy to use.

However, a number of issues like loading duration, security flaws, performance, broken links, confusing navigation, etc. frequently prevent mobile applications from offering a wonderful user experience. Thus, it is necessary to fix these issues in mobile applications to enable a flawless user experience. Therefore, companies who are looking to develop scalable, reliable, and fully working mobile apps must prefer to hire a QA Engineer.

What is Mobile Test Automation?

Test automation is a software testing methodology that employs automated mobile testing tools to evaluate various mobile application categories designed for portable electronic devices. Native, hybrid, and web applications are the three main primary categories of mobile applications, and test automation is applied to each of them.

Mobile test automation enhances the quality, usability, performance, security, and dependability of these applications while ensuring that they operate as intended. Businesses can gain a lot from using automated mobile app testing.

What are the Advantages of Automated Mobile App Testing?

Check out the below top 7 benefits of automating mobile app testing:

1. Quick Releasing of Application

Automating repetitive processes during the mobile app testing process saves a lot of time, accelerates the test execution process, and allows for quick releases.

2. Improved App Functionality

Automated mobile app testing ensures there are no problems or bugs linked to the functionality by thoroughly validating the operations of the application.

3. Ensures high Security of Application

Vulnerabilities in mobile app security can cause firms to suffer financial and reputational losses as well as identity and credential theft from customers. It is simple to find and fix security flaws in mobile applications by automating the security testing process.

4. Ensures Faster Loading of Application

Mobile application vendors must make sure that all of their Android and iOS applications development load quickly because a slow-loading application negatively affects the user experience. By eliminating defects from the application, automated mobile app testing guarantees a faster download speed.

5. Enhances Usability

App usability is increased when proper navigation, the placement of multimedia files, active links, accurate color contrast, high-quality photos, and other features are ensured by automated mobile app testing. These features make the application more user-friendly and increase its usability.

6. Verifies Application’s Compatibility

To provide a wonderful user experience, mobile applications should work with all operating systems, browsers, and gadgets. Testing for mobile compatibility guarantees your applications work with any combination of devices and operating systems.

7. Enhances App’s Scalability

Mobile applications that use automated load testing are also able to adapt to variations in user load and handle large user loads without experiencing any slowdowns.

What are the Kind of Mobile App Testing: Manual vs Automated

Read out the difference between Manual mobile app testing and Automated app testing

1. Manual Mobile App Testing

When testing an app manually, developers or test engineers compare its features, functionalities, and users to a variety of test cases, mobile devices, and emulators. When the features of the application get more complicated, the manual testing method becomes more labor-intensive, time-consuming, and prone to human mistakes. It is also challenging to scale.

2. Automated Mobile App Testing

By using specialized tools to run and manage test cases, automated mobile app testing cuts down on testing time. The finest applications for automated testing are large-scale projects that need frequent or continuous testing of pre-written scripts. The reason for this is that we can run several tests concurrently across various mobile frameworks or components.

What are the Factors to Consider for Mobile Test Automation?

Testing strategy plays a major role in the mobile app testing success. Hence, for a mobile app testing procedure to be successful it is important to follow certain rules and regulations. The following are some of the important factors to consider before conducting mobile test automation:

• Test mobile applications using emulators and simulators as well as actual devices.
• Test mobile applications across different OS tiers.
• Examine mobile applications across various device configurations
• Examine mobile applications across several networks
• Test mobile applications across various locales.
• Check mobile applications for different screen sizes and other details

What are the Ways to Automate Mobile App Testing?

There are total 4 ways to automate mobile app testing:

1. Make a Strategy and Mention the Types of the Tests

For mobile app testing, selecting target devices with several screen sizes is crucial in developing a test strategy. Determining the kind of testing that needs to be done on the mobile application – functional, front-end, back-end, etc. is also required. It is necessary for testers to determine if the mobile application they are testing is a web, hybrid, or native application.

2. Create Test Cases and Scripts

Creating test cases for every application function is the next stage. Test cases ought to cover things like memory use, app speed, battery life, etc. It is important to create reusable automated scripts that may be modified in accordance with project requirements.

3. Establishing the Test Environment

To establish the test environment, it is necessary to download, install, and configure the program on the testing device. Prior to beginning the actual mobile app testing procedure, create the test version of the application.

4. Conduct Various Tests

Testers should prefer to use a variety of test automation tools to conduct the tests. Mobile applications undergo a variety of test types.

List of 5 Top Automation Tools for Mobile Application Testing

1. Appium

For automated mobile application testing, Appium is a well-known open-source platform. It enables programmers to test native or hybrid iOS and Android applications automatically. Appium is a collaborative tool. Using the WebDriver Interface, it executes the test cases.

Features of Appium

• Provide platform-specific automation features via a standard, cross-platform API.
• Make this API accessible for any programming language
• Give the community the resources they require to easily develop Appium extensions.
• Allows for a broad variety of app kinds and supports the automation of mobile, hybrid, and native web applications
• Integrates with Xamarin, Flutter, and React Native three cross-platform frameworks for mobile app development.
• Offers integrated tools for inspecting app parts and creating test scripts for example Appium Desktop and Appium Inspector.

2. NightwatchJS

BrowserStack is the developer and maintainer of the Node.JS framework NightwatchJS. Under the hood, Nightwatch leverages Appium to automate mobile applications on both real and virtual devices and simulators. Moreover, Nightwatch manages the complete installation with a single command.

Features of NightwatchJS

• To run your tests, set up SDKs and libraries using a single command.
• Natural Nightwach utterances
• Integrating with Appium Inspector
• Allows parallel test execution, which speeds up test execution by enabling you to run tests on several browsers and devices at once.

3. EarlGrey

The testing framework EarlGrey, created by Google is useful for developing UI and functional tests. EarlGrey 2.0 allows testing of iOS in addition to Android by integrating EarlGrey with XCUITTest. Google tests iOS versions of its apps, including Gmail, YouTube, and others with EarlGrey.

Features of EarlGrey

• By simulating user interactions with the application’s UI elements through tests, EarlGrey employs an interaction-driven
• methodology. This method encourages testing scenarios that are realistic.
• Facilitates the testing of native iOS UI elements including tab bars, navigation controllers, and alerts.
• Creates EarlGrey test scripts in Objective-C or Swift to enable developers with varying language preferences to use it.
• Allows for the parallel running of tests on several devices
• Automate intricate actions and interactions, such as pinching, swiping, scrolling, and tapping with several fingers.

4. Espresso

Google’s Espresso is a mobile automation framework that makes it possible to write and run user interface tests for Android apps. Espresso is a popular tool among app developers and testers since it is crucial to evaluate an application’s user experience before releasing it. It is possible for developers to set up a scenario and record user interactions with a device. After that, they can include assertions that use snapshots to confirm how the application’s UI elements behave. They can utilize the tool to test their application by creating a UI test case.

Features of Espresso

• During Development cycles, it permits testing of individual components as well as black-box testing.
• Developers will be able to test hybrid web views in addition to native Android views due to this strong infrastructure.
• It is possible to write an Espresso test case in Java or Kotlin

5. Selendroid

For Android mobile apps, Selenium is another name for Selendroid. With Selendroid, testers can test both native and hybrid mobile applications. Like Selenium, Selendroid can run test cases in parallel across several devices for cross-browser testing.

Features of Selendroid

• Test Android applications, both natively and hybridly automatically.
• Able to automate native and hybrid app testing, as well as web app testing on the Android browser.
• It is possible to create test scripts using Selendroid in various programming languages including Python, Ruby, C#, and Java.
• With Selendroid’s automated gesture support, users can create realistic user interactions in their favorite tests by swiping, tapping, and pinching.

What challenges do testers face while performing mobile automation testing?

1. Device-OS Fragmentations

Users can now access mobile applications using a variety of mobile platforms and devices. As a result, testers must evaluate mobile applications across a wide range of hardware and operating systems, which can occasionally be difficult.

2. Choose the Best Test Automation Tool

There are various test automation tools available, but it can be difficult to choose which test is appropriate for a given project or mobile application.

3. Opt for the Best Test Automation Strategy

Since test automation strategies vary depending on the domain and the needs of the project, there is no one-size-fits-all method. As a result, developing the best test automation method presents difficulties for testers.

4. False Positives and False Negatives

These two issues can lead to faulty testing and are one of the main problems that testers encounter when using test automation

5. Inadequate Teamwork

Inadequate teamwork is another difficulty testers encounter during test automation. This typically occurs when testers and developers collaborate on a project independently.

Conclusion

Automated mobile app testing is a difficult undertaking. It is possible to conduct an efficient automation text with technologies that meet the budget and selection requirements.

An efficient and timely automation project delivery that results in a stable and bug-free app and wins the satisfaction and gratitude of the app client requires careful consideration of a number of factors, including the availability of tools and compatibility, network and environment setup, recording and location elements on UI tricks, and system configuration for desktop and server machines.

To create scalable, reliable, and high-performing mobile applications, enterprises must now use sophisticated mobile test automation. For high-quality mobile applications that enable an excellent user experience, businesses must use application automation testing tools and hire QA Engineer and software testing service provider.

The post What is Mobile Automation Application Testing Process? – Check out the Details appeared first on Blog Concetto Labs.

Why is It Needed to Run Software Testing on Newly Created Software?

To know about the challenges of testing, let’s first gain knowledge about its importance and its advantages.

• Increase the trust value of customers: Testing confirms delivering a well-functioning, convenient, and secure application. It improves the brand’s image and professionalism.
• High Performance: Quick response time, high load speed, and well-enhanced media quickly show up on the screen as your convenient solution for end users. And software testing covers everything.
• Time and cost-effectiveness: Testing helps you save time and money by avoiding spending extra resources on unexpected bug fixes and maintenance services.
• Improved development quality: Due to software testing, you will be able to know which features need to be optimized. Also, at any stage of development, it can be analyzed. By doing this, we can prevent issues and bugs from affecting the system.
• High data safety: Software testing helps you detect software engineering problems in the security system and data leaks.

We at Concetto Labs understand the importance of software testing. That’s why we recommend testing every product before releasing it. However, it is impossible to verify everything 100% because the testers themselves confront various difficulties. We have gathered the most important ones in this article. Let’s go over the main issues that testers have when testing software and how to handle such challenges in software testing without difficulty.

Here, We Have Divided the Testing Process Into Three Different Terms Where They Face Problems.

1. Pre-launch: It is possible that while working on the initial stages, testers may lack communication or a well-structured strategy among the team. Soon, this will create problems in software engineering, and because of the communication gap, testers may have to face unwanted situations. To improve this, one must have an understanding of the main goal, allocate responsibilities, and perform the required testing.

2. Pre-release: Before the release, you prepare a new version of your product. Here, you can experience new issues while working on bug fixes. You can match the testing results with the requirements and send them for further improvement. However, you should be prepared in advance of the release.

3. Post-launch: After product release, maintenance, and support are the two main software quality challenges. New issues can get raised, the support team may not perform their assigned task properly, or the user may discover functional flows that you missed before release. All of these end up resulting in extra costs for the company.

Let’s Learn About Challenges in testing web-based Software and Their Solutions.

1. Unstable Environment

Generally, the QA team faces unstable environment setup issues. This led them to restart the system multiple times, or the server would get stuck while doing testing. To resolve this issue, you need to make sure that the environment you are testing is ready for testing.

2. Tight Deadlines

Most of the time, QA individuals receive requests for testing during the last few minutes. The main reason behind this is that developers take more time to develop the application. Due to the increase in development time, they reduced testing time. However, testing and debugging take almost 50% of development time. Due to a lack of time, testers cannot cover all the test scenarios, which leads to missing a few functional flows. To reduce such problems, testing should start at least three days before release.

3. Forcefully Used Tools

Due to paid subscriptions, companies suggest using tools for the testing process. But tools are not the right choice. By using the same tool, we do not get the opportunity to look for another alternative on the market.

We should always look for other alternatives and upcoming tools. It can help us save time and money, both with quality results.

4. Manual Testing Challenges

The manual testing process is quite popular, but it is very costly and time-consuming. Testers need to perform repetitive tasks. On the other hand, automation testing is the best alternative to reduce the overall testing process’s time. Thus, if you can’t hire more employees for the company, you can choose an Automation Testing Service.

However, there are many challenges in Automation Software Testing as well. Tools are built for a very specific reason. They cannot be as flexible as humans. Manual testing responds better than automation testing during the change in build.

To resolve such , challenges in software testing, one needs both manual and automated test engineers in their company. They should utilize the selected resources as per the needs of the project. If you would like to work with our engineer, then Hire QA Engineer from Concetto Labs for your upcoming project.

5. Friday Releases

All the employees working on the project always look forward to the successful release of the project. From the tester’s point of view, it is almost impossible to release software on the first go. With new issues, it takes time for the developer to resolve them and for the tester to do regression testing. Thus, the best time to release the software is at the start of the week rather than the end (Friday). It will give testers and developers time to manage whatever comes.

6. Wrong Time Estimation for Testing

While making an estimation, sometimes the prediction goes completely wrong, and it takes longer than expected. It should be understandable for everyone that, as developers, QA also doesn’t have 100% assurance about unexpected issues.

7. Testing Documents Created by Others

For testers, it is much easier to create testing documents from scratch rather than using one created by anyone else. Using test cases created by others takes more time to understand and verify.

8. Fixing Issues While Testing in the Process

The testing process cannot be maintained properly if development and testing work simultaneously. It can lead to missing out on important functional flows. Thus, testing should be performed once the first phase of development is completed, and vice versa. It helps in managing test cases and bug reports.

9. Different Time Zone

Communication gaps occur due to time-zone differences. There is no particular solution to this problem. However, to practice it perfectly, one needs to practice time zones consciously.

10. Team Coordination Issues

After COVID, many companies follow full or partial remote work. For companies, it is a bigger challenge in the software development industry to keep everyone on the same page with the same efficiency. While any company works on a specific corporate model, it is very common to have a communication gap. However, by doing one-on-one meetings and using bug tracking tool, one can manage to reduce the communication gap.

11. Last-minute Requirement Changes

It is very common to change the requirements during the mid-sprint of software testing projects. However, this can be frustrating for team members at times. They may need to do regression testing for the whole functionality or project due to minor or major changes. And this can increase the time for testing and the cost for the company.

To reduce this, you can make that change for the next release, or you should have a mutual understanding with the client regarding the extended time for regression testing.

Conclusion

Software Testing should be considered as important as development. It helps in detecting bugs before any release, which improves the quality of both the software and the company. Moreover, it can increase the trust of your client and the targeted audience. Resolving the above challenges in software engineering will not only help testers but also streamline the software development process of any company.

The post How To Overcome The Main Challenges In Software Testing appeared first on Blog Concetto Labs.

Software quality refers to a product’s ability to carry out all the tasks and tasks required of it, safely and without errors. The quality of the software system is assessed with “Quality Assurance,” which is examined before it is purchased (QA). Hiring QA analysts will help to demonstrate how crucial quality control is when developing software.

We’ve outlined everything you need to know about the SDLC in this post:

What is SDLC?

Software is a sophisticated product created and supplied through a series of phases. Software, like all products, starts as a concept, as does all development. There will be a document and possibly a prototype before the concept is in the hands of a real user.

The output of one phase serves as the input for the following step, whether it be a text, diagram, or functional piece of software. Eventually, the development team delivers the software to the client. The software development lifecycle (SDLC) describes this process.

How Does SDLC Work?

In addition to reducing costs, SDLC raises quality and speeds up software development. SDLC comprises these conflicting goals by adhering to a policy that eliminates the typical risks of software development projects.

The User can then define the requirements for the new project. After that, it goes through the analysis, planning, design, development, testing, and deployment processes to construct the software. By foreseeing costly errors, SDLC can reduce the need for further effort and post hoc corrections.

It’s crucial to understand that the testing stage is given much attention. You must guarantee code quality for every SDLC life cycle because the SDLC is a recurring approach. Many organizations rarely do testing, even though it could save them money, time, and rework. Create the right types of tests and be wise.

Let’s now investigate the role of QA in the SDLC process and various software development life cycle phases.

Importance of QA in Software Development

Software quality assurance (SQA) is essential throughout the development life cycle. QA ensures that a program functions correctly, is bug-free, and can operate flawlessly.

You must create web or mobile software tailored to your company’s requirements to alter your organization and get online (today, this is essential if you want to succeed). Therefore your software must be written flawlessly. The development team needs QA in this situation.

IT QA is included in all development phases and continues to be used even into the post-release phase. QA experts can develop and try various ways to enhance software quality. They conduct the necessary software testing to ensure the software will operate as intended; this process is known as quality control (QC).

Which are the Stages of SDLC?

The six phases in SDLC (software development life cycle). These may vary slightly depending on your team’s views and SDLC interpretation. But, in general, these can
include:

1. Requirement analysis and Gathering

to create a product that meets the consumer’s needs. One can gather All necessary data from QA during this stage. All the team can provide answers to any question during the working of this step.

The business analyst and project manager meet with the client to obtain all the necessary data, such as user requirements, who will be the end user and the product’s purpose. Basic knowledge or understanding of the product is important before developing it.

After gathering requirements, an analysis is conducted to determine whether it is feasible to produce a product.

Once the requirement is approved and understood, the SRS (Software Requirement Specification) document is done. The client should check the document for future reference, and the developers must ensure they fully understand it.

2. Designing

The requirements in the SRS document are used as input in this stage to know the software architecture required to implement system development. Like the planning process, firms can save much money by incorporating QA into the design phase. Also, it might lead to a better-finished product that will make more money from content customers. Unattractive design or malfunctioning functionality are not always indicators of poor user experience.

There are design elements that can look fantastic and work just as they should but irritate the product’s users. When QA is included early in the design process, it can spot potential issues with the design while it is still in development. This enables the designer or person who created the wireframes to make modifications immediately. Nevertheless, if QA doesn’t discover design-related issues until the formal testing process, the business might have to go back and redo the design or wireframes.

3. Implementation and Coding

The moment the developer receives the design document, implementation and coding begin. Coding involves converting the source code from the software design. During this stage, the software is executed. There are typically multiple ways to add a new feature in programming. Many approaches have advantages and disadvantages, some of which may harm consumers. There are typically multiple ways to add a new feature in programming. Many approaches have advantages and disadvantages, some of which may harm consumers.

4. Testing

Testing begins when the code is finished, and the modules are available. The software is assessed in this phase, and any defects are allocated to developers to be rectified.

Retesting and regression testing is carried up till the program meets customer expectations. Testers consult the SRS document to ensure the program meets customer requirements.

QA will undoubtedly test the app or website in-depth. But other actions consist of:

Developing test cases: Test cases entail thoroughly reviewing every section on the tiniest particulars. This can still be done even if the feature lacks specific approval criteria.

Developing bug reports: This goes beyond merely summarizing a problem. Typically, there are stages to follow, screenshots to attach, and environment characteristics to describe.

Monitoring of every update that is released.

Giving client-supported browsers and hardware the top priority.

When it comes to testing, QA must get started right away. The testing phase puts a lot on QA’s plate, from checking more than a dozen browser/device combinations to being the final step before release.

5. Deployment

Depending on the customer’s expectations, the product may undergo UAT (User Acceptance Testing) before being deployed in the production environment.

While using UAT, a replica of the display setting is made, and the client and developers test the software together. The client must allow the application to go online if they find it to be what they expected.

During a deployment, QA often has to be on call. They frequently occur late at night when consumers are less likely to be impacted. QA is ready for deployment at all times. As soon as the release goes live, QA returns to work, conducting smoke tests to ensure the deployment went smoothly.

6. Maintenance

After a product has been deployed in a production environment, the developers are responsible for maintaining the product and taking care of any issues that need to be resolved or enhancements that need to be made. Repeat the process from above! Even the finest automated/manual testing cannot detect all flaws on all browsers/devices 100% of the time. Thus occasionally, bugs do get through. QA must be available to test the feature updates or bug fixes.

Software Development Life Cycle Models

A software life cycle model (SDLC) explains the software development cycle. Although each Software Development Life Cycle model in software testing takes a somewhat different approach, they share the same fundamental phases and activities.

1. Agile Model

The Agile SDLC approach divides the product into cycles and produces a usable result quickly. A series of releases are produced using this process. Each release’s testing delivers feedback that is integrated into the next version. According to Robert Half, the disadvantage of this paradigm is that it places a lot of focus on customer engagement, which might occasionally steer the project in the wrong way.

Sprints are the term used in agile iterations. 2-4 weeks are spent on each sprint. After each sprint, the product owner verifies it, and it is handed to the client after receiving his approval.

Consumer ideas and enhancements are implemented in the following sprint once customer input is considered for improvement. To reduce the possibility of any failures, testing is done during each sprint.

Advantages of the Agile Model:

• Iterations for the project are brief and open.
• The process for changes is adaptable.
• It lowers the risk that deals with software development.
• The first version of the product was released quickly.
• The development process incorporates checks to ensure that functional requirements are correct.
• The customer can view the outcome and determine whether they are satisfied.

Disadvantages of the Agile Model

• The development team should be extremely competent and customer-focused.
• A new demand might collide with the architecture as it is now.
• There may be a potential that the project will take longer than anticipated with additional corrections and changes.
• Due to ongoing revisions, predicting the project’s eventual cost may be challenging.
• There is no clear necessity.

DevOps Methodology

DevOps is the next step in the growth of agile approaches, a culture transformation that integrates the development and operations teams.

The phrases “development” and “operations” are combined to form the term “DevOps.” Due to the DevOps methodology, a single team can manage all application software development life cycle phases, including development, testing, deployment, and monitoring.

DevOps’ overarching objective is to shorten the system’s development life cycle while constantly releasing features, fixes, and upgrades in close coordination with business goals.

DevOps is a software development method that allows you to produce high-quality software more quickly and reliably. Continuous development, integration, testing, deployment, and monitoring are a few of the processes that make up this process.

Advantages of DevOps Methodology

• Faster application deployment and development.
• Quicker reaction to market changes to boost business expansion.
• Reduced software delivery times and transportation expenses boost business profits.
• Enhances consumer pleasure and experience.
• Cooperation is made easier because all the tools are accessible to customers in the cloud.
• Shared responsibility improves team engagement and productivity.

Disadvantages

• DevOps features are less accessible.
• The cost of infrastructure in a DevOps environment is substantial.
• The continuous integration of automation initiatives may experience issues due to a lack of DevOps knowledge.

Every Stage of the DevOps lifecycle has a Set of Related Tools

The subsequent categories pair several DevOps tools with the necessary processes. Despite the list’s sequential order, remember that each phase in the DevOps lifecycle may iterate or repeat many times before the project is finished.

1. Git

Git is a free version control system that is open-source and accessible to everyone. As previously mentioned, version control systems are used to manage a program’s or piece of software’s source code. Git is a fantastic DevOps tool since it promotes teamwork among programmers and nonlinear processes. You may link development and operations with GitHub, a web-based hosting platform for Git code repositories. Tools like support ticket management enable more collaboration.

2. JIRA

Despite the fact that Jira and other Agile project management systems are not particularly required for planning, DevOps firms regularly utilize them. Agile project management is characterized by frequent releases and iterations that take customer feedback into account. The Jira DevOps template is a helpful resource for planning workflows, overseeing projects, and monitoring issues.

3. DOCKER

Applications can be built, tested, and shipped using container systems, which give developers access to resource-independent environments. Each container contains the unique program, its libraries, source code, configurations, and all of its dependencies, making up the entire runtime environment. Platforms for containers include characteristics like orchestration, automation, security, and governance.

For effective application development and deployment, DevOps mainly relies on containerization and microservices, with Docker and Kubernetes being the most popular container technologies.

On a single node, the development, deployment, and management of containerized apps may all be automated using the Docker engine. Amazon, GCP, and Azure Cloud are compatible with Docker, which is open-source and free to use. Linux and Windows both support Docker for use in applications.

What are the Advantages of Using SDLC in a Project?

Appropriate planning helps to easily carry out a development team project hassle-free. Each software development practice has a framework for creating, deploying, and sustaining software. Discussions are about assessing success in software development and which approach is better for a specific kind of software. Yet there is one thing you can count on: a plan is better than nothing.

Software development without a detailed plan will create a mess. It confuses developers about what functionalities to code. The way to measure improvement is a mystery to project leaders. A properly established process for software development leads to below benefits:

• A standard language for each action
• Established routes of communication between development teams and stakeholders
• Well-defined roles and duties for project managers, business analysts, and developers
• Step-by-step inputs and outputs that are precisely defined
• A deterministic “definition of done” that can be used to determine if a process is finished

Conclusion

User needs and necessary testing are fulfilled through quality assurance. A lack of concern for quality control can result in dissatisfied clients, delays, mistakes, and misunderstandings within the organization.

Testers conduct more than simply the usual testing tasks, such creating problem reports, creating test cases, and running and evaluating an application’s functionality. They perfect the final product by testing and approving it from the user’s point of view. Engineers in charge of quality assurance (QA) are always developing new techniques to lower the frequency of flaws and faults in software and raise the application’s overall quality.

Concetto Labs appreciate priorities and aim to establish strong bonds with our clients, not the other way around. You can hire QA testing developers and get your projects done with ease. Please feel free to get in touch with us whenever you need. We will assist you with the development of any complexity of software.

The post Software Development Life Cycle Models – The Essential Importance of QA appeared first on Blog Concetto Labs.

What are the Software Testing Methodologies?

SoftwareTesting Methodology defines strategy and testing types to meet client expectations. The methods of testing include functional and non-functional testing.

A few examples are unit testing, system testing, integration testing, performance testing, etc. The testing methodology defines the test objective, deliverable, and test strategy.

Software testing Methodologies are considered a set of testing mechanisms used in the software development lifecycle. Choose an appropriate test methodology that can view as a core of the testing process. Let’s dive into understanding the testing techniques.

Testing Techniques

Three methodologies of testing are:

• White Box Testing
• Black Box Testing
• Grey Box Testing

We’ll study each in brief for a better understanding of the methodologies.

1. White Box Testing

It’s a technique that examines the program structure and builds business logic. The code validates the program of an application, so it’s called exact box testing or open box testing. The technique includes- statement coverage, path coverage, and branch coverage.

2. Black Box Testing

It is mainly used to test the functionalities of an application based on the requirements needed. Same as white box testing, it does not focus on the application’s internal structure. The technique adds- decision tables, domain tests, boundary value analysis, state models, and exploratory testing.

3. Grey Box Testing

It’s a testing method with less information about the application’s internal structure. It performs like a black box, but for some critical areas, it can use for white box testing. The techniques include- the waterfall model, v model, spiral model, agile model, and RAD.

Take a Closer Look at Each Software Development Methodology.

1. Waterfall Model

It’s a basic model of the life cycle developed by Winston Royce in 1970. It represents multiple stages in a sequential manner that flows progressively downward. The waterfall model is used when requirements are well-known, and technology is understood.

• Requirement Gathering
  It’s a first step that allows us to analyze and capture all requirements. Make sure that the data is testable or not before using it.
• System Design
  Based on the requirement gathered, one need to create and design a document. Later one can define hardware and software requirements.
• Implementation
  Now, based on system design, create robust code for documents as per the design and later integrate them.
• System Testing
  Using the integrated components, the phase performs to ensure that the system works as per requirements. Now track and report the testing progress.
• System Deployment
  If a system is stable with zero bugs, ensure the test criteria are met, and ensure the environment setup.
• System Maintenance
  Ensure your application works as per your requirements and within a suitable environment. If in case, there’s some defect then fix and deploy it in the environment.

1. Advantages of the Waterfall model

• It’s simple and easy to understandable
• It’s easy to handle at each phase with its deliverables
• It works well for small projects
• Overlapping stages can avoid

2. Disadvantages of the waterfall model 

• Increase the amount of uncertainty and risk
• Do not work well with complex projects
• Not suitable if you’re requirements keep on changing

2. V Model

We can call the V model an extension of the waterfall model as the process take place in a sequential style and is known as the verification and validation model. There exists a direct association in every single phase of the development cycle. The model is cost-effective and more beneficial than the waterfall model as the testing is performed at every stage rather than at the end of the cycle. It comes with three phases- the verification phase, the coding phase, and the validation phase.

1. Advantages of the V model

• It’s easy and simple to use
• Easy to manageable and suitable for small projects
• Overlapping is avoided and executed one at a time.

2. Disadvantages of the V model

• Same as the Waterfall model

3. Agile Model

It’s a model that shows an interactive and incremental approach. It uses the approach that breaks the model into different incremental units to provide iterations. The model allows each iteration to involve steps like planning, requirement gathering, design, coding, unit testing, etc. The agile model gives continuous iteration with the customer and takes feedback and requirements based on regular intervals.

1. Advantages of the Agile Method

• It uses a realistic approach to software development.
• Eliminates mismatch between requirements and test cases
• Suitable for long-term projects
• It requires a minimum amount of resources.
• Good for changing requirements
• Easy to manage and understandable

2. Disadvantages of the Agile Method

• It doesn’t work well for complex projects.
• It can increase maintainability risk.
• It requires a massive amount of interaction.

4. Spiral Model

The model works with the iterative development approach, systematic approach, and waterfall model. It works on an incremental model that emphasises Risk analysis.

It comes with four stages – planning, risk analysis, engineering, and evaluation phase.

1. Advantages of the Spiral model

• It helps in avoiding the high amount of risk
• Rapid development
• Changes in requirements are accommodated with ease.

2. Disadvantages of the Spiral model

• Not suits for small projects
• It’s costly compared to others.
• It requires a high amount of risk analysis.

5. RAD model

RAD (Rapid Application Development) is one type of incremental model. It uses the approach where components are developed in a parallel manner. It uses a rapid approach and gives the customer an immediate product and provides feedback. A few phases of RAD are- Business modelling, process modelling, testing turnover, and application generation.

1. Advantages of the RAD model

• The process can measure easily.
• It can increase reusability.
• It reduces development time.
• Get quick initial reviews.
• Enhances customer feedback

2. Disadvantages of the RAD model

• Comes with a high-cost estimation
• Need highly skilled resources
• With a modularized system, you can build using RAD.

How do choose the right software testing services?

We’ll find a lot of methodologies to choose from in software development. But when it comes to software testing methods, we need to consider our requirements, project size, budget, and scope. For smaller projects, it’s clear that the waterfall works well and benefits hugely. But if you have large projects, then agile methodologies have substantial benefits.

Functional Testing vs Non-Functional Testing

1. Functional Testing

Testing a software or application’s “Functionality” is called functional testing.

It examines how the software under test behaves. A software specification or requirement specification is used as a reference to test the application based on the client’s requirements.

On its basis, a set of test cases and test data are created. The software is then evaluated realistically to see if the outcome matches what was anticipated. This process, known as the “Black Box Method,” is manual and very good at detecting problems.

2. Non-Functional Testing

There are certain difficult aspects, such as an application’s performance, etc., and this testing verifies the software’s quality. Quality mostly depends on a product’s precision, stability, correctness, and longevity in a variety of challenging conditions.

In terms of software, a program is said to be reliable if it performs as expected by the user seamlessly and effectively in any circumstance. Testing under these conditions is crucial based on these characteristics of quality. Non-functional testing is the name given to this form of testing.

This type cannot be tested manually, hence some specialized automated technologies are used.

Wrap up

We would recommend using SDLC as soon as possible so as to catch bugs at an early stage and incorporate testing feedback into the design and build sets. Achieve better quality products and shift your focus towards making quality assurance your priority.

However, it’s your choice to choose single or multiple software developments that lie at the core of the testing process. We can call it a versatile activity that changes according to the business requirements and software given timeline. If you’re looking for a software testing company or want to hire QA analysts, then connect with us and let’s discuss your requirements.

The post Software Testing Methodologies to Watch Out in 2023 appeared first on Blog Concetto Labs.

What Is Mobile Testing?

In recent times, we all are aware of the system. The use of mobile phone is increasing daily. Here, users are downloading the version-based application. The general device Testing company rates and review the Mobile. It is all completely based on the effectiveness of the working speed of the device.

The working of the application defines the success of the mobile phone in the market. The following tests are applicably important and run on various operating systems. Mobile tests also include the touchpad for manual mobile testing, which is known as a mandatory process.

Software Development And Debugging

A software development equally runs with the process. All kinds of updates in the software version serve as an innovative change for the users. Hence, updates are necessary to clear out all the bugs and fix the mobile processor.

Software Bug is the most interrupted part, which can make any user uninstall the application. To be secured, accurate data of the test must be provided in the market as a source.

Now times, phones have become an in-demand resource in the market. People don’t rely on their mobile phones more than switching on their personal computer or laptops. Each of the devices can easily gripe. Also, the system is so efficient that each device works in quick mode.

In short, to acknowledge the accuracy of the mobile phone’s mobile device testing service, online mobile application testing must be done regularly. Before reaching or launching the Mobile out in the market, they test. Get in touch with us at Concetto Labs to get the best system for your company.

Manual Mobile Testing For Software Development

Firstly, let us learn the meaning of manual testing. Manual testing is the process of testing done by humans. All the evaluations are made after the tests. It helps in analyzing the functionality of the software and the device.

Quality testing for mobile devices ensures that the applications’ working is frequent. Keeping the mobile application testing strategy that makes it user-friendly and standardized.

Manual testing is the process that consumes time because it tries to fix bugs and errors. Hence, the rule is to release that 20% of applications must be tested with Testing Alpha and Beta. The left-over application must be tested by automated testing. The performed applications must be ensured with proper analysis. Here, automation testing is another approach that bits help in testing the mobile application.

Types Of Phone Testing

There are two kinds of mobile QA testing. They are:

• Hardware Testing
• Software Testing

Manual testing is phone testing done by humans, and Automated Testing is testing done through an automatic robot system. Following up the automation testing are:

• Manual testing is comparatively slower than automated testing. The app testing follows up with the basic rules and graphs.
• These test mobiles are automatically done, while manual testing is a human process.
• Automation testing is a sort of test case folded frequently using functions.

Thus, automation testing can’t be performed through a manual testing procedure. Also, it can easily predict the results of the mobile software. The advantages of the mobile application through automation testing are as written:

It increases automation testing efficiency, which enhances regression in the case of testing execution. Thus, automation testing can be performed again and again.

Automation testing can also run on multiple devices. It enhances the local efficiency of the server to test the mobile tester app.

Strategies Used For Testing Mobile Software

There are two main methods of testing, which are hardware and software.

Following the mobile testing google, hardware testing is completed based on an internal processor that checks upon the hardware system. Through which acknowledged facts are revealed for the resolution, size of the screen, camera, and other related features. This is a simple mobile testing app method.

On the other hand, Mobile software testing is commonly known as application testing. The functioning of these apps which are installed on the phone. The application is working on the current device.

Different Techniques For Mobile Testing

In simple terms, native apps involve application that is used on a different device. Mobile web apps work as side server apps. Such strategies are estimated by a different browser that gets connected to any device.

Each presented application is different from one the others. Related to the strategies of mobile testing, they have been offered to Hire QA Tester/Engineer to find the compatibility of the software into workings.

Following The Tried And Tested Methodology

In the initial stage, the company believes in following up the Manual QA testing. The testers analyze the correct statistics of the technique presented in the chart. Also, notice the version-based updates before the launch of the device.

The testing is done through a long process of carefully testing each function. After reading out, the systems need engineers to guide the software testing company to rectify the bug. Bugs are mainly fixed after the updates are developed.

IOS Software Testing

In such terms, iOS is the platform that uses iPad app testing manually. The company is very much secure about its software. They form a well-scaled business that helps in recreating all the values.

It is the most demanding market where people blindly trust testing services. The versions are timely updated. They launch their system updates with a new creation.

Thus, simple changes can make users happy. They put in their full effort to let the users remain happy. The sources are authorized, and the company claim all the purchases are safe. They use licensed services for the user interface.

Channelized Source Of Development

The authorization is done and estimated with simple values. The basic idea is to give out the best launch in the market. All the programs are settled and certainly tested. For each mobile device, it is a must-formed duty to build a correct scale. Customers search for their company value.

Recreate it with perfection for the users. The Hire QA Analysts who readily come and sustain the demanded version. The mobile app testing is perfectly analyzed and tries to follow up on all the bugs.

Quality Assurance And Bug Removal

Sometimes, checking on the bug becomes a big problem for the developer and the tester. The bug is those unwanted system errors that always need a version update. They clearly channel the software and reach all the certain envisions of the system software.

The completion of the testing serves as a green flag for the software testing company. After getting the green flag, the companies move ahead.

Conclusion

Moreover, mobile phones are launched in the market after a genuine test. The company reviews its mobile phone before launching in the market. Also, a company follows up a proper advertisement of their product on the market.

The source leads up with the actual reach and waits for the market to take charge.

The company works properly to grant the best mobile testing best practices They present the correct reports of tests and serve the users with the best-updated versions.

The post What Is Mobile Device Testing & Best Practices For Mobile Testing? appeared first on Blog Concetto Labs.