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首页> 外文会议>IEEE international conference on computer science and information technology;ICCSIT 2010 >Generation of Efficient Test Data using Path Selection Strategy with Elitist GA in Regression Testing
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Generation of Efficient Test Data using Path Selection Strategy with Elitist GA in Regression Testing

机译：在回归测试中使用带有Elitist GA的路径选择策略生成有效的测试数据

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摘要

Regression testing is an expensive and frequently executed maintenance process used to revalidate modified software. Various problems are associated with regression testing such as regression test selection problem, coverage identification problem, test case execution problem, test case maintenance problem etc. |4|. In test selection problem, appropriate and effective test data is to be selected from the input domain of test data. One more problem may arise, when tester has to select the modified paths from the set of modified path for test case execution i.e. path selection problem. To overcome these problems, this paper presents a combined approach by which the stated problems are resolved in effective manner. By this approach, tester can identify the appropriate paths for test case execution and also generate efficient test data using elitist version of GA. The proposed approach enables tester to execute the test cases in order to increase their effectiveness to find faults taking minimum efforts. This approach is used in regression testing to choose an appropriate subset of test cases by using elitist GA, among a previously run test suite for a software system, based on the information about the modifications made to the system for enhancement.
机译：回归测试是用于重新验证修改后的软件的昂贵且频繁执行的维护过程。各种与回归测试相关的问题，例如回归测试选择问题，覆盖范围识别问题，测试用例执行问题，测试用例维护问题等| 4 |。在测试选择问题中，应从测试数据的输入域中选择适当有效的测试数据。当测试人员必须从修改的路径集合中选择修改的路径以进行测试用例执行时，可能会出现另一个问题，即路径选择问题。为了克服这些问题，本文提出了一种组合的方法，通过该方法可以有效地解决所陈述的问题。通过这种方法，测试人员可以确定执行测试用例的适当路径，并且还可以使用精英版的GA生成高效的测试数据。所提出的方法使测试人员能够执行测试用例，从而以最小的努力提高其发现故障的有效性。该方法用于回归测试中，基于有关对系统进行的修改以进行增强的信息，通过使用eliteist GA在软件系统的先前运行的测试套件中选择合适的测试用例子集。

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