TestEvol: A tool for analyzing test-suite evolution

Leandro Sales Pinto, S. Sinha, A. Orso
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引用次数: 9

Abstract

Test suites, just like the applications they are testing, evolve throughout their lifetime. One of the main reasons for test-suite evolution is test obsolescence: test cases cease to work because of changes in the code and must be suitably repaired. There are several reasons why it is important to achieve a thorough understanding of how test cases evolve in practice. In particular, researchers who investigate automated test repair - an increasingly active research area - can use such understanding to develop more effective repair techniques that can be successfully applied in real-world scenarios. More generally, analyzing testsuite evolution can help testers better understand how test cases are modified during maintenance and improve the test evolution process, an extremely time consuming activity for any nontrivial test suite. Unfortunately, there are no existing tools that facilitate investigation of test evolution. To tackle this problem, we developed TestEvol, a tool that enables the systematic study of test-suite evolution for Java programs and JUnit test cases. This demonstration presents TestEvol and illustrates its usefulness and practical applicability by showing how TestEvol can be successfully used on real-world software and test suites. Demo video at http://www.cc.gatech.edu/~orso/software/testevol/.
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TestEvol:用于分析测试套件演化的工具
测试套件,就像它们正在测试的应用程序一样,在其生命周期中不断发展。测试套件演变的主要原因之一是测试过时:测试用例因为代码中的更改而停止工作,并且必须适当地修复。全面理解测试用例在实践中是如何发展的,这一点非常重要,有几个原因。特别是,研究自动化测试修复(一个日益活跃的研究领域)的研究人员可以利用这种理解来开发更有效的修复技术,这些技术可以成功地应用于现实场景。更一般地说,分析测试套件演变可以帮助测试人员更好地理解在维护和改进测试演变过程中测试用例是如何被修改的,这对于任何重要的测试套件来说都是非常耗时的活动。不幸的是,没有现有的工具来促进测试演变的研究。为了解决这个问题,我们开发了TestEvol,这是一个能够系统地研究Java程序和JUnit测试用例的测试套件演变的工具。这个演示展示了TestEvol,并通过展示TestEvol如何在真实的软件和测试套件上成功地使用来说明它的有用性和实用性。演示视频在http://www.cc.gatech.edu/~orso/software/testevol/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Studios in software engineering education: Towards an evaluable model Not going to take this anymore: Multi-objective overtime planning for Software Engineering projects 3rd International workshop on collaborative teaching of globally distributed software development (CTGDSD 2013) TestEvol: A tool for analyzing test-suite evolution A characteristic study on failures of production distributed data-parallel programs
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