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Why Test Automation Framework for Software Testing is Beneficial

By CIO Applications| Friday, January 22, 2021
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Software testing takes time, and when the clients or the market are demanding applications quicker, that could be time you do not have. Automation is the solution.

Fremont, CA: Software testing validates that the apps you create do what you intend them to do, and it verifies whether the application meets requirements. Software testing can also expose bugs that put the application and your customers' information at risk for application protection.

The common types of test automation frameworks include:

Library Architecture Testing Framework: This framework builds upon the idea of module-based testing, but rather than creating test files, it separates the program into functions. This helps you to build a library that has common testing functions.

Data-Driven Testing: This system keeps data and the test script apart, enabling you to test the feature with different data sets continuously.

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Keyword-Driven Testing: This builds on the idea of data-driven research, grouping data by particular code or keyword.

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Behavior-driven testing: This system uses a format that can be understood by team members without programming language expertise.

Module-Based Testing: Divide the program into different modules, and for each one, create a test script. Separate the modules with an abstraction layer so the framework will not be influenced by changes.

Hybrid Testing: Use various other forms of research to construct a system that gives you the most significant advantages and performance.

The benefits of using test automation frameworks for software testing are:

Consistency: Developing libraries help you reuse scripts and reuse code with confidence after checking the code.

Less Manual Work: Having an automated script not only saves time for the staff it also avoids inconsistencies between the coding standards of various individuals. And even when your team is out of the office, automated testing will run at any time.

Greater Efficiency: Automation makes it possible for you to do comprehensive testing in less time. For larger applications, keeping up with just manual methods can be virtually impossible.

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