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Regression testing is used to re-validate modified program and provide confidence that changes does not harm the behavior of the existing code. Test suites grows in size as software evolve, a simple approach of regression testing is re-test all approach in which all the pre-existing test suites are executed on the code but it is too expensive and increase the cost of testing activity. Different problems have been involved with regression testing, e.g. test suites minimization problem, test selection problem, coverage identification problem, test case execution problem, test case maintenance problem etc. Another problem may occur, when tester has to select the changed paths from the set of modified paths for test case execution. This book presents a new path selection strategy based on static analysis for regression testing which enables the tester to execute the test cases in an order that increases their effectiveness to find faults taking minimum efforts. With the proposed approach, tester can select the paths among the set of paths in an order to achieve the testing objective. In-feasible paths are also identified by the proposed approach which can reduce the effort.
| Autorius: | Mrinal Kanti Deb Barma, Shailesh Tiwari, A. K. Misra, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 60 |
| ISBN-10: | 3659336300 |
| ISBN-13: | 9783659336300 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Path Selection Strategy for Regression Testing: Software Metrics Based Approach“
