基于历史信息的自适应测试用例优先级技术

在软件迭代开发的过程中,测试用例优先级技术因能有效地提高回归测试的效率,降低时间开销和人力成本,受到研究者的广泛关注,许多优化方法相继被提出。但是目前的研究多倾向于以需求和覆盖率作为排序准则,并且是一种静态排序。为此,提出一种基于历史信息的测试用例优先级技术,并在测试用例的执行过程中动态自适应地调整测试用例的优先级,以尽可能早地发现缺陷,达到预期的检错目标。在课题组开发的项目中运用该方法,验证了该方法的有效性。

Self-adaptive Test Case Prioritization Based on History Information

Test case prioritization(TCP),which can effectively improve the testing efficiency and reduce testing time overhead and labor costs in iterative software development process,has attracted widespread attention of researchers.And many optimization methods have been proposed.But most methods incline to TCP technology based on requirement and coverage,and keep a static sort.This paper presented a TCP technology based on history information,and we dynamically adjusted the prioritization of test cases during the execution of test cases.This method helps to find defects as early as possible and to achieve the goal of bug detection.Finally,we applied our method to the project developed by our research group to verify the effectiveness of our method.