Every software application under development needs to be tested on various parameters to ensure they meet the exact quality standards envisaged by the client and the development team. It is also done with the objective of making the software application acceptable to the end-user. However, given the scale and the number of software applications that are released to the market courtesy the use of Agile and DevOps methodologies, the testing process is always under stress. The traditional waterfall method of manually testing the software post-development is fraught with errors and inadequacies. Besides being extremely complex and time-consuming, it is incapable of delivering a flawless software application to the end-users.
To rule
out such issues and ensure the software application meets every quality
parameter and regulatory standard, a test
automation framework is integrated into the development cum testing
process. With mobile and web applications being churned out like hot cakes, it
is only by leveraging software test
automation services that quality considerations are not lost count of in
the overall scheme of things. These help businesses to test any software
application under development across devices, operating systems, browsers, and
networks within an omnichannel environment. A test
automation framework helps testers to standardize every test
automation asset and drive the testing process seamlessly, quickly, efficiently,
and cost-effectively. Let us understand the framework in some detail.
What is a test automation framework?
An
automation framework is a set of processes and tools used to execute software QA automation of any software
application. It is also a set of guidelines, rules, protocols, or best
practices to create automated test cases and make efficient use of test resources.
The framework comprises elements such as test data, libraries, and various
reusable modules.
Why use an automated QA testing framework?
To
understand the need for employing an enterprise
intelligent automation framework, let us consider a scenario. If the
testing team comprises members who are used to working with different
automation testing tools, they may find it difficult to understand the scripts
or code updated by one of the team members for a specific project. This is
where an enterprise process automation
framework can offer the option of reusing the code or script in various
scenarios as well as writing the script in a standard format. Further, the
framework can help to reuse the test scripts many times for different builds. The
other benefits of using such a framework are as follows:
·
Follow a
standardized policy to achieve design uniformity across test suites
·
Drive the
testing process quickly and efficiently
·
Enable
root-cause analysis for the application under test
·
Easy
maintenance and reusability of test scripts
·
Achieve
optimal utilization of resources and maximum test coverage
·
Achieve
continuous testing and delivery of code as per DevOps
·
Achieve
accuracy in testing
What are the types of software QA
automation frameworks?
The
various types of test automation frameworks are as given below:
Linear automation framework: Also called the record and
playback framework, it is commonly used to test small applications in a linear
manner. It does not entail the writing of custom code and automation scripting
is executed incrementally with new interaction being added to the tests.
Modular testing framework: Here, the
entire application is broken down into smaller modules based on the client’s
requirements to create independent test scripts. The scripts so written are
easy to maintain and scale. Further, for each component or module, an
abstraction layer is built that is hidden from the software application under
test. The abstraction layer ensures the changes made to other parts of the
application do not impact the underlying components.
Data-driven testing framework: In this type of enterprise intelligent automation framework, test data is loaded into
variables inside the script after being read from external files, namely, text
files, excel files, ODBC sources, CSV files, and DAO objects. It allows testers
to create test scripts by using different test data sets. Here, a single script
can execute multiple test cases with different data sets.
Behaviour-driven development framework:
This type
of framework creates a platform wherein every stakeholder in the project can
participate, namely, developers, QA testers, and business analysts, among
others. The testers can use natural language to build test specifications,
which can be easily understood and analyzed by non-technical people.
Keyword-driven testing framework: Also known as table-driven
testing, the framework is useful to test applications for smaller projects. In
this application-independent framework, which is an extension of the data-driven
testing framework, keywords and data tables are used to execute actions on the
application. Also, since a single keyword can be used across test scripts, the
code can be reused.
Hybrid test automation framework: It is a combination of data-driven,
modular, and keyword test automation frameworks, which leverages the benefits
of other frameworks. It is a flexible framework that can be custom used to test
different applications with different processes.
Conclusion
The
above-mentioned automated
QA testing frameworks can be utilized efficiently to test the code
as per the project requirements, budget, and team expertise. These help to
boost productivity, efficiency, and test coverage through standardization.
Resource
James
Daniel is a software Tech enthusiastic & works at Cigniti Technologies. I'm
having a great understanding of today's software testing quality that yields
strong results and always happy to create valuable content & share
thoughts.
Article
Source: medium.com
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