To meet the stringent
quality requirements of complex applications, the Software Development Life
Cycle has changed. If earlier, the waterfall was the preferred model with
testing done at the end of development, it has given way to Agile today. This
is because the waterfall model suffered from a lot of inconsistencies and did
not deliver the right results. Also, it increased the cost of software
development and testing for businesses. The need for Agile was felt due to the
growing complexity of software applications. As the new software applications
come with endpoints that interface with third-party databases, servers, or sites,
the quantum of vulnerabilities has increased. If not plugged in time, once
these applications are out in the market, they can be exploited by hackers
leading to severe consequences for the users.
With Agile, it has
become easy to detect glitches and vulnerabilities early on in the software development
pipeline. Also, to keep pace with shorter release cycles, enterprises are
adopting Agile test automation. This is to
ensure the software conforms to the exacting standards of quality. Further,
with plenty of features being added to the software in every sprint, developers
need to ensure they do not affect the existing functionalities. Also, as the
sprint is of a shorter duration, it is not possible to test and execute the
entire software suite every time a feature is added. This is where Agile test automation can help by
running the codes iteratively.
Why Agile development needs automation?
The Agile model
entails the development, testing, and delivery of glitch-free software products
within fast turnarounds. Since the process can involve repeated changes, a
robust test automation strategy
should be put in place. For Agile
testers, there are several challenges to be addressed with Agile test automation.
Challenges for Agile testing
Even though adopting an
Agile testing
framework delivers a string of positive outcomes, it can entail some
challenges too. These include
Inadequate test coverage: During the later
sprints when a number of features are added to the build, the testers get
lesser time to test them and analyze their impact. In such conditions, a few
user stories are left untested with the hope that they would not affect the
release. However, by automating the Agile
application testing process, the build can be put through a regression
testing exercise to achieve assured quality.
Frequent build leading to cracked code: In Agile, there can
be instances of frequent code changes due to the addition of features to the
build. These changes can lead to cracked codes, especially during the integration
phase. Further, to implement a continuous integration and deployment pipeline
(CI/CD), the Agile testing experts
ought to implement test automation.
Performance issues: It can often be the
case when improving the functionality of an app can end up complicating it
further. Since every change can lead to an increase in the volume of codes, the
performance of the app can take a hit. However, conducting Agile performance testing using
automation tools can identify the performance issues.
Compatibility issues: Any software of the day should be checked for its
compatibility across devices, operating platforms, browsers, and networks.
Ideally, testers should ensure the seamless run of software across devices. An
automated test run can check for glitches or vulnerabilities in the endpoints
and APIs, and make sure the compatibility issues are sorted.
API testing: A web or mobile app involves the implementation of
complex APIs, the quality of which is often overlooked. Automation testing
tools such as LambdaTest can help Agile testers to overcome such issues.
Things to automate in Agile
When it comes to
introducing automation in testing, areas like regression testing or smoke
testing take the cake. However, these are just the top layers of the build,
which can be insufficient as far as ensuring the quality of the software is
concerned. The other areas where test automation can be implemented are
·
Builds and deployments
·
Unit tests
·
Non-functional testing
·
API testing
·
GUI testing
·
Repetitive tasks like data comparisons
Benefits of test automation
Agile development can
be benefited from automated testing in a number of ways related to performance,
portability, versioning, reliability, usability, and speed, among others. The
benefits include
·
Enhanced quality
·
Quick turnaround
·
Repeat execution
·
Seamless performance
·
Better collaboration
Conclusion
The Agile testing approach can lead
enterprises to create a better software development pipeline. Its success is
underpinned on the level of implementing test automation. The automation-led
Agile methodology combined with DevOps has the potential to improve the quality
of software and deliver great user experiences.
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