Top 3 Unit Regression Testing Types and How to Execute Them

The National Security Agency recently alerted Microsoft about a major flaw discovered in the Windows operating system. The bug could expose the users to significant breaches, surveillance, or disruption, reported the Washington Post. Post the alert, Microsoft has released a security patch for the flaw. The bug was essentially a mistake in the computer code that would have affected the Windows 10 OS, which governments and businesses widely use. There could have been serious implications if the wrong forces sensed the bug earlier and exploited the vulnerability to cause serious damage.

The thing about finding bugs ages after the code has gone live is that it needs to be backdated and fixed to fall back into its place seamlessly. Before embarking on how to do regression testing, it’s better to understand what Regression testing and its types are to ensure that there are as few after-release shocks as possible.

What is Regression Testing?

Regression testing is a black–box testing technique performed by executing code units repeatedly to ensure that the ongoing code modifications do not impact the system’s functionality. Alterations to the application can occur in various forms: new functionality, bug fixes, integrations, functionality enhancements, interfaces, patches, etc. Many software development engineers would insist that it would suffice as long as essential functions are tested and can deliver results as per the requirement. While this may be practical, regression testing can prove to be a real blessing at a later stage because rather than guaranteeing the functionality being tested for, it ensures that there are no other nasty surprises.

Even seemingly irrelevant modifications can result in a complete breakdown of existing functionality. This is why regression testing is crucial: to ascertain that the modified code has not impacted ANY part of the system. It is advisable to standardize the process of regression testing and ensure that regression tests are executed as often as possible throughout the software development life cycle.

Types of Regression Testing

Often, regression testing is done through several phases of testing. It is for this reason that there are several types of regression testing, such as:

• Unit regression – Unit regression testing, executed during the unit testing phase, tests the code as a single unit. It has a narrow and focused approach, where complex interactions and dependencies outside the unit of code in question are temporarily blocked.

• Partial regression – Partial regression is performed after impact analysis. In this testing process, the new addition of the code as a unit is made to interact with other parts of older existing code. Doing so determines that the system functions in silos as desired, even with code modification.
• Complete regression – Complete regression testing is often carried out when the code changes for modification or the software updates seep back into the roots. It is also carried out in case multiple changes to the existing code exist. It gives a comprehensive view of the system as a whole and weeds out any unforeseen problems. A sort of “final” regression testing is implemented to certify that the build (new lines of code) has not been altered for a period of time. This final version is then deployed to the end users.

How do we go about Regression Testing?

Comprehensive regression testing is not so much about the number of test cases as it covers the critical conditions. These conditions ensure that the functionality remains, that the bug-fixing has been successfully done, and that a particular functional area can handle unexpected behavior. Purely undertaking regression testing by the number of cases is not very easy, nor is it practical. For example, while one case may cover many conditions, it could also cover only one such condition. Hence, no proper detailed estimate must be considered while executing the regression test cases.

A sequence of steps is given below to understand how exactly we can go about regression testing:

Smoke/Sanity Test – Primarily done to check that the system is stable, this check is done to confirm that the system works as desired under ‘normal’ conditions. Rather than finding bugs, the purpose is to ensure the system is stable even before the rest of the testing process is initiated.

Requirements Analysis – Requirements of the modifications or additions of code must be thoroughly analyzed. Often, users report bugs that, when analyzed, are found to be a result of last-minute alterations. Mandatory requirements of the customers must , therefore be carefully assessed, and test cases for regression are prepared such that the product’s core features remain firmly intact.

Test Cases for Critical Functions – Of the various test cases designed for regression testing, the most critical for customers and development teams are the sanity test cases that check the system’s basic functionality. Ordinary setup–related test cases are then checked on priority. The test cases designed for regression testing as the software life cycle progresses are then executed as per bandwidth and need. Integration test cases, in particular, are highly important, and there needs to be a series of regression test cases, especially while performing integration testing. For example, a sudden fix at the last moment can break the integration between multiple modules, even in an already-tested application.

Selection of Test Cases – After prioritizing the test cases, they can be selected for execution. These test cases are selected primarily based on the area of frequent defects, the features, and their criticality. Tests are run aggressively for those units of code that have undergone multiple changes repeatedly.

Regression tests are the ideal cases of automation that result in better ROI

1. Select the Tests for Regression
2. Choose the apt tool and automate the regression tests
3. Verify applications with checkpoints
4. Manage regression tests/update when required
5. Schedule the tests
6. Integrate with the builds
7. Analyze the results

Conclusion

Cigniti Technologies ensures that its solutions for regression testing enable the desired outcome post-code enhancements. The demand of end-users to modify or upgrade functionality is only dynamically increasing. Software development teams undergo several iterations of coding when modifications are made to the existing features. Cigniti’s QA engineers understand and perform impact analysis of the changes made to the test environment.

Cigniti uses a systematic and well–defined approach to perform effective regression testing. Our approach includes:

• Detailed traceability matrix: Outlines of the requirements vs. test cases
• Dependency analysis: Performed between test cases and requirements
• Change reports: Issues between the current release and previous release
• Release–specific regression test pack
• Risk-based analysis: Pareto analysis, FMEA, output from code coverage report, etc.

• Continuous pruning: Regression test packs are continuously pruned by removing the test cases that are no longer needed & add additional ones.

To know more, get in touch with our QA experts.