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At the point when a change is done to a software application – the change should be checked for its accuracy. For the accomplishment of a software application, it is additionally fundamental to test and fix any regressions in the current features. 

The regression issues are any blunders or bugs that may have crept into the previously working functionalities after the concerned change. To keep an application working completely after each little or big change requires effective regression testing. Also, proficient regression testing requires legitimate determination of regression test cases for execution without fail. Selecting test cases for regression testing is at last accomplished by sequencing the testing of programming modules that are significant from the client's point of view. Subsequently, the requirement for test case prioritization emerges.

Selecting test cases for regression testing is finished considering the business necessities, past test cycle insight on working of the current features, and the conveyance courses of events.

In this blog, let's examine the methodology in focusing on the test cases for regression testing and its significance in the test life cycle.

Selecting Test Cases for Regression Testing explained

Regression testing is completed to guarantee that a framework or an "Application Under Test" (AUT) carries on true to form after upgrades or bug fixes. Testing exercises happen after programming changes and regression testing ordinarily alludes to testing exercises finished during the software support stage.

The vital goals of regression testing incorporate retesting the changed segments or parts and afterwards checking the influenced parts and segments. regression testing is performed at various levels: unit, integration, practical, and framework.

Smoke testing is also called build verification testing.  Smoke testing is performed to test the fundamental and sensitive features of an application or software before testing in depth. It illustrates whether the software constructed is steady or not. This testing technique is performed after the software construction is completed by the development and the technical team. 

Purpose of smoke testing

Smoke testing is a software testing technique. This testing is performed after the build of the software. It is performed for the following purposes:

Smoke testing     concentrates on the work pattern of the primary and secondary features of     the application.

Through the smoke     testing, it is decided if the software built is verifiable or not.

Features of smoke testing

Other than determining if the software constructed is deductible or not, software testing has the following features which explain its importance in software testing. The features of smoke testing are:

It recognizes the     crucial business-functionalities that software or an application must     assure

It saves the time     and efforts of the testing team by revealing the obvious errors.

It depicts and     implements the important functionalities of the system.

The smoke testing     can be automated or non-automated.

Sanity testing

Sanity testing is also called a variant of regression testing. This testing is performed to check the accuracy of the just added attributes and components. Its task is to make sure that the defects fixed do not affect the working and implementation of the existing code. It also assures that the moderations made do not affect the software performance.

Smoke testing VS sanity testing

Smoke testing is software testing performed at the beginning, after the completion of the construction of the software. As mentioned above, smoke testing tests the major functionalities of the software built. If the software functions well enough then the next testing takes place, else the software is sent back to the development team to fix the issue.

In modern development practices like Agile and DevOps, testers work in various test execution cycles to automate regression tests for reducing time, effort, and costs of testing. But testing doesn't even advance at the same speed as development. The most basic form of test automation is in-sprint test automation performance in which QA teams test 1 sprint behind is the development cycle. 

Delays could occur due to many reasons including application availability, changing requirements, and limited time due to short release cycles. This often creates a barrier for testing at the speed of Agile/DevOps as QA continues to play catch up.

To keep test automation from preventing timely releases, testers should adopt in-sprint test automation. Automating user stories at the unit, API, and UI levels define in-sprint test automation.

In this article, we have shared an effective in-sprint test automation performance in 2021 using different approaches at the unit, API, and UI level to give testing and development work in the same sprint.

Benefits of in-sprint test automation performance 

You've all heard how time- and effort-consuming regression testing can be, leaving little opportunity for implementing innovation to gain a competitive advantage.

Completing test automation within the constraints of a single sprint allows businesses to dramatically accelerate these repetitive processes, optimize test coverage, discover errors early in the development life cycle, simplify iterations, and gain a comprehensive perspective of product quality.

Data migration testing is the process of verifying that the data transferred from the current system or the legacy system to the new target system.

Data Migration is generally performed in any organizations either due to data consolidation, obsolete technology or optimisation of the system.

While performing migration of data from one system to another it is ensured that:

The system should be down only for a limited interval of time, because it may cause inconvenience to a lot of its user and their work might get affected by it.

While performing the migration, the major concern is the loss of data which is not at all accepted.

Along with that, the migration process should be secure enough to prevent any loss to the integrity of the data.

Even,     after the migration is completed, the new system should be fulfilling all  the functional and non-functional requirements.

Need of Data Migration Testing

1. Data conversion testing is done to avoid any inconvenience to the user because of migration.

2. It should also be ensured that the user can access all the features of the application just like before migration.

3. It is necessary to see if the upgraded system is compatible to work with the hardware and solutions of the legacy system.

4. All the functionalities of the application should be working as in the earlier system.

5. Any defects in the new system should be detected and removed during the data migration test.

6. This testing also discovers ‘ if the migration has caused any degradation in the performance of the system?’ and measures are taken to improve it.

7. To ensure that there is a seamless flow of data within the system components like servers, clients and other hardware.

Data Migration Testing Techniques 1. Data Validation Test

First of all the completeness of     the data is tested to see if some data is missing in its new location

It is validated that the     appearance of the objects on the graphical user     interface of the application in the legacy system and the     upgraded system is the same. This process is generally performed manually     by comparing the objects before and after migration.

Integration testing helps in     validating that the interlinkings and the connections within the system     are working perfectly.

Processing of the data is     performed to ensure that the new system can process the migrated data.

 2. Migration Run Test

It is performed to ensure that the migration process takes place smoothly and do not cause any issue in the system.

Full migration testing is     performed by migrating the whole data set. It is a kind of practice before     performing the actual migration.

Partial migration testing is     performed on limited data to enact a shorter form of complete migration.

Phases in Data Migration Testing  1. Pre-Migration Testing

At this stage, the scope of the data to be included in the migration testing is determined. It is decided that ‘which data should be considered in the testing?’ and ‘ which should be not?’.

It is also important to understand the destination and the load processes. The mapping of the data is performed.

It is determined that what will be the requirements for data cleansing. The records of the tables are kept for verification after migration.

This stage, also involves the creation of test cases, test scenarios and conditions to be executed on the target system after migration.

A set of test cases are executed and their results are recorded. It is also ensured that the business cases, user stories and use cases are also considered.

2. Data Cleansing

Data cleansing is performed on the system that stores and maintains the data. The errors in the system are determined. These errors may be blank fields, inappropriate data length.

The data can be checked either using SQL commands or by using data migration tools. The data dependencies in the system should also be determined as incorrect information in one table can affect the other linked tables.

All the issues detected should be fixed and the data count should be verified.

  3. Post-Migration Testing

After the end of migration, it is tested that the data has successfully migrated to the target system within the predefined downtime. It also involves verifying that the schema of the data has been changed as per the new system.

The data types including the business and technical ones of the migrated data are tested and the flow of data within the system is verified. The target system should continue the functionalities present in the legacy system.

The existence of the redundancy of the legacy data should also be checked and removed. Other testings like performance testing, usability testing, security testing and rollback testing are performed on the target system.

Strategy for Data Migration Testing 

1. The testing team should include members that have specialized knowledge about the domain.

2. Before performing the migration, all the business risks should be determined and actions should be taken to mitigate them.

3. The errors that may occur during the migration should be analysed and the team should know ‘how to fix them?’.

4. The scope of the migration testing should be determined. It will help in determining what should be tested and when it should be tested?

5. The tools that can help in making the testing more efficient should be determined. For example, automated tools can be used to compare the legacy data and the target data.

6. The separate testing environment is also chosen for pre and post-migration testing for verification purpose.

7. Proper documentation of the whole migration testing should be done including the test plan, test approach, schedule of the testing.

8. Before the launch of the new system discussion should be done with the stakeholders to see if all the testing requirements have been covered.

Conclusion

Organisations with a large amount of data, generally have to migrate data from one place to another and hence need migration testing.

Mobile testing refers to the process through which current mobile devices are tested for operation, usability, performance, and other factors. It includes testing native mobile apps as well as responsive web for hybrid apps. 2021 Mobile testing tool can be automated or manual and helps you ensure that the application you are delivering to users meet all their requirements as well as expectations.

In this article, we will talk more about the differences between these types of mobile applications and why they are important:

Why is mobile testing important?

Internet users on mobile are continuing to rise, even though internet users on desktops and laptops are declining, and this trend has continued for years. As more and more users are spending an incredible amount of their time on mobile devices, it is essential to provide a good experience on your mobile apps.

If you are testing the mobile experience your users are receiving then you won't know how well your application will serve a large and growing portion of your users. Failure to comprehend this will result in the dreaded one-star app ratings and unfavorable social media criticism.

Mobile testing jobs guarantee that your consumers have a positive mobile experience regardless of the type of app they are using or the platform on which the app is produced.

Key considerations for mobile testing

When you consider your mobile testing services, there are various things to keep in mind to plan and execute an optimal approach.

Types of mobile apps

Mobile apps are divided into three general categories that you may need to test:

Native apps: Native apps are designed especially for a particular mobile platform. Today, it means the Android or iOS, and they are usually downloaded and installed via an app store like Apple's App Store or Google Play Store. It includes both your native apps built on Java/Kotlin for Android or Objective C/Swift for iOS, as well as cross-platform native applications built using frameworks like ReachNative, Flutter, and NativeScript.

Responsive web apps: Responsive web apps are designed to be accessed by mobile browsers. Web apps could either be responsive versions of websites or progressive web apps that add additional mobile-friendly features.

Hybrid apps: Hybrid applications are intended to be a cross between native and online apps. Hybrid applications, like native apps, maybe downloaded through app stores and may have some native capabilities. However, they rely, at least in part, on functioning essentially as web applications encased in a native shell.

Differences between mobile and web testing

Many complexities should be considered while testing mobile applications, even if you are testing a web app. Mobile users will communicate with your app on a large variety of operating systems and devices, like Android, in particular, which has numerous operating system versions and devices that invite circulation with many standard resolutions and device-specific functionalities.

Even beyond the unique devices themselves, mobile users find themselves in different situations than desktop or laptop web users, which should be accounted for in testing. It includes signal strength, battery life, contrast, and brightness as the environment frequently changes.

Even with the most common scenario, ensuring test coverage would be a complex challenge.

You may also like, 8 Mobile Testing Practices For Greater Customer Satisfaction 

Key types of mobile testing

There are very complex and important ways to test your mobile applications. Here are some of the most common ones:

Functional testing

Functional testing is essential to ensure the basic functions are performing as expected. It implements the appropriate input and verifies the output. It concentrates on things like checking standard functionalities and error conditions, along with basic usability.

Usability testing

Usability testing for user experience testing goes further than functional testing in evaluating ease-of-use and intuitiveness. It concentrates on trying to imitate the real experience of a customer while using an app to find areas where they might struggle to use the application as intended or just have a poor experience.

Compatibility, performance, accessibility, and load testing are the other types of mobile tests one can consider. .

Manual Testing vs. Automated Testing for Mobile

Manual testing is performed completely by a human, who independently evaluates the software and painstakingly searches for and notes any errors that a user may face. Automated testing transfers specific activities from people to an automated program, freeing up human testers for other work.

Both forms of testing have advantages and disadvantages. Manual testing can use human intuition to find unforeseen mistakes, but it is also incredibly time-demanding. Automated testing saves a lot of time and is especially useful for repeating tests, although it might overlook less obvious problems that manual testing would capture.

The needs of your application will determine whether you employ one method or a hybrid approach in your testing.

Top Open Source Mobile Testing Tools

For testing your mobile apps, there are a lot of popular and open-source mobile testing tools and frameworks available. Some of the most common are:

Espresso: An     Android-specific app aimed towards developers (recommended by Google).

XCUITest: It is an iOS-specific 2021 mobile testing tool intended for     developers (recommended by Apple).

Appium: cross-platform     and user-friendly, with a large network of supporters.

Calabash: Cross-platform with Cucumber support, Xamarin-based, and     simple to use.

Automated Visual Testing for Mobile Devices 

Automated visual testing is another sort of testing to bear in mind. Traditional testing experiences rely on code validation, which can result in flaky tests in some instances, particularly in complicated mobile contexts. Instead, visual testing compares visual screenshots.

For mobile applications, visual testing may be quite effective. While the conventional pixel-to-pixel technique can still be flaky and prone to false positives, developments in visual AI (trained on billions of photos) make automated visual testing more reliable today.

Conclusion