Software tests have to be repeated often during development cycles to ensure quality. Every time source code is modified software tests should be repeated. For each release of the software it may be tested on all supported operating systems and hardware configurations. Manually repeating these tests is costly and time consuming. Once created, automated tests can be run over and over again at no additional cost and they are much faster than manual tests. Automated software testing can reduce the time to run repetitive tests from days to hours. A time savings that translates directly into cost savings.
Just Enough Test Automation shows test developers and users how to design, implement, and manage software test automation. Learn from authors Dan Mosley and Bruce Posey how to implement a powerful data-driven testing framework; automate unit testing, integrate testing and system/regression testing; and facilitate manual testing with automated tools.
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Manual software testing is performed by a human sitting in front of a computer carefully going through application screens, trying various usage and input combinations, comparing the results to the expected behavior and recording their observations. Manual tests are repeated often during development cycles for source code changes and other situations like multiple operating environments and hardware configurations. An automated testing tool is able to playback pre-recorded and predefined actions, compare the results to the expected behavior and report the success or failure of these manual tests to a test engineer. Once automated tests are created they can easily be repeated and they can be extended to perform tasks impossible with manual testing. Because of this, savvy managers have found that automated software testing is an essential component of successful development projects.
In my organization, we've taken automation to the extreme, and we automate every test we believe will yield a good ROI. Usually, this means we run automation tests on all delivered features at both sanity and end-to-end levels. This way, we achieve 90 percent coverage while also maintaining and growing our test automation suite at all stages of the application lifecycle.
In software testing, test automation is the use of special software (separate from the software being tested) to control the execution of tests and the comparison of actual outcomes with predicted outcomes. Test automation can automate some repetitive but necessary tasks in a formalized testing process already in place, or perform additional testing that would be difficult to do manually. Test automation is critical for continuous delivery and continuous testing.
As mentioned previously, automated testing frees you up to focus on larger issues such as customer needs, functionality and improvements. Automated testing also reduces the cost and need for multiple code revisions, so over the course of time, the investment pays out. In addition, each time the source code is modified, the software tests can be repeated. Manually repeating these tests is costly and time-consuming, but automated tests can be run over and over again at no additional cost.
Robust GUI test automation begins with the reliable object identification provided by Ranorex Spy. This tool can be used alone or from within the Ranorex Studio environment to deliver industry-leading recognition of GUI objects and controls, and ensure that each user interface element is uniquely identified using the powerful RanoreXPath syntax. Information on identified objects can be shared with team members through snapshot files, or stored in the Ranorex object repository for use in automated tests. The object repository in Ranorex Studio manages identified UI objects, so that they are editable and re-usable across testing projects. Features of the repository include the ability to assign meaningful names to repository objects to make them more maintainable, set default values, or link objects to parameter values. Ranorex Studio tools support best practices in automated test case design, including separation of test data from procedures, use of local and global parameters to pass values, and easily reusable code modules that can be shared by the entire team.