To
stay in the competition, enterprises need to deliver quality and user-friendly
products or services on a consistent basis. While doing so in real-time, they
ought to upgrade their deliverables with better features and functionalities
possibly without altering the cost. As customer experience becomes the key
differentiator for products to being adopted by their target customers, their
quality becomes important. The quality needed is in terms of performance,
scalability, security, and, to some extent, aesthetics as well. So, how to
ensure the changes made to the applications do not end up impacting any other
aspect of the same? The answer lies in conducting regression testing. In
fact, given the business-critical need for the products to perform well, there
has been an urgency to administer regression testing in software
testing.
How does regression testing help enterprises?
Modern
software applications are huge, cumbersome, and come with a lot of end-point
interfaces with third-party applications. These make them vulnerable to the
ingress of glitches when changes are introduced. Thus, determining the impact
of any minor fix can be a challenge unless, of course, the software is put
through automated regression testing. In this type of testing, the core
functionality and performance are analyzed to uphold the application’s
robustness. Further, regression testing validates performance of the application’s
interdependencies.
Notwithstanding
the criticality of regression testing in the build-test-deliver pipeline, it is
often given short shrift by the powers-that-be. As per the management, retesting
the already-tested features and functionalities in a software can be a
wasteful, time-consuming, and costly exercise. Let us discuss some other
challenges that can be added to this list containing ‘management reluctance’.
Challenges for regression testing services
The
slew of challenges impacting the proper execution of regression testing comprises
of the following:
Inadequacies of the waterfall way of testing: Enterprises are
wont to follow the waterfall way of quality testing where siloed departments,
especially QA, may not have the idea of any changes being made in the
application. To address the lack of information, testers conduct the full suite
of regression testing, often manually. This can take a toll on their time,
cost, and effort. However, with the adoption of Agile and DevOps methodologies,
everyone is aware of the changes. Hence, testers, instead of running the entire
suite of testing, only test the impact of the specific change made in the
application.
Costly and highly complex: As this type of testing entails retesting the
already tested features and functionalities of an application, it is difficult
to justify the cost. The cost can accrue towards allocating resources and
tools. Further, since the updates to any software application can be a continuous
process given the technology trends and changing customer preferences, the need
for maintaining the test cases increases.
Choose appropriate test cases: To make the most
of the time and resources allocated towards regression testing, testers should create
and execute specific test cases.
Since
regression testing in software testing can be a cumbersome and
time-consuming activity, it should be automated. In other words, by automating
the regression test suites, enterprises can free up resources and relieve them
from the drudgery of performing repeated manual testing.
Best practices for automating regression testing
As
regression testing for
checking the functioning of various aspects of an application is repetitive,
automation holds the key to make it quick, efficacious, and cost-effective. The
best practices to follow are:
Choose the right test cases: Since running the
test covering all aspects of an application through large test suites would
belie the very rationale for automation, testers should choose test cases
carefully. They should brainstorm as to the specific cases they need to validate
rather than going about testing every aspect of an application. Importantly, test
the interdependencies that feed the performance of various features and
functionalities.
Choose the right tool: Automation testing needs the presence of proper
tools that enable the writing of test scripts in any language the tester is
comfortable with. The tools can be open-source or premium depending on the
extent they can meet the testing objectives.
Train the testers: Even though automation in regression testing can supposedly
relieve testers of the drudgery of conducting manual tests, they should have
the expertise to write test scripts and run them. So, choose testers who are
adept at writing test suits or train the ones who are not yet up the learning
curve.
Study user personas: Usually, the features and functionalities that the
core group of target users would like to use should be automated. This, when
extrapolated, can cover most people’s browsing habits and ensure a superior
browsing experience.
Conclusion
Regression
testing is a critical requirement to ensure the seamless performance of an
application. However, while automating the same, steps should be taken to cover
specific aspects of the application that may have a large impact on the user
experience.
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