Satisfying Test Preconditions through Guided Object Selection

Yi Wei, S. Gebhardt, B. Meyer, M. Oriol
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引用次数: 17

Abstract

A random testing strategy can be effective at finding faults, but may leave some routines entirely untested if it never gets to call them on objects satisfying their preconditions. This limitation is particularly frustrating if the object pool does contain some precondition-satisfying objects but the strategy, which selects objects at random, does not use them. The extension of random testing described in this article addresses the problem. Experimentally, the resulting strategy succeeds in testing 56% of the routines that the pure random strategy missed; it tests hard routines 3.6 times more often; although it misses some of the faults detected by the original strategy, it finds 9.5% more faults overall; and it causes negligible overhead.
通过引导对象选择满足测试前提条件
随机测试策略可以有效地发现错误,但如果无法在满足其前提条件的对象上调用某些例程,则可能使它们完全未经过测试。如果对象池确实包含一些满足前提条件的对象,但随机选择对象的策略没有使用它们,那么这种限制就特别令人沮丧。本文中描述的随机测试的扩展解决了这个问题。在实验中,结果策略成功测试了纯随机策略错过的56%的例程;它测试困难例程的频率高出3.6倍;虽然它漏掉了原策略检测到的一些故障,但它发现的故障总体上增加了9.5%;它造成的开销可以忽略不计。
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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