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Automated Testing


Automated testing is a process to validate that software functions appropriately and meets requirements before it is released into production. This form of software testing uses scripted sequences that are executed by testing tools.

An organization can apply automated checks to a broad range of test cases, such as unit, regression and API testing. Automated software testing's main benefit is that it simplifies as much of the manual effort as possible into a set of scripts. If unit testing consumes a large percentage of a quality assurance (QA) team's resources, for example, then this process should be evaluated as a candidate for automation. Automated testing tools execute tests, report outcomes and compare results with earlier test runs.

Automated tests can run repeatedly at any time of day. This approach fits in with continuous testing as well as continuous integration and continuous delivery (CI/CD) software development practices, which aim to shuttle code changes to production without gates that require manual intervention.

Benefits of automated testing

Automated testing can boost a QA team's efficiency. Some benefits include higher accuracy as well as better reporting capabilities, coverage, resource efficiency, bug detection and reusability.

When a software tester manually checks a system, he can make a mistake, especially when an application contains hundreds or more of lines of code. Automation helps the QA team avoid these application testing mistakes and executes checks in a faster timeframe than a person.

Some test automation tools have reporting capabilities that log each test script to show users the status of each test. A tester can then compare the results with other reports to assess how the software operates compared to expectations and requirements.

Automated testing enables staff to avoid manual tests and focus on other project priorities. A QA team can reuse automated test scripts to ensure each check executes the same way every time. Additionally, automated testing helps a team quickly find bugs in the early stages of development, which can reduce overall working hours.


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