Adaptive Random Testing
Adaptive Random Testing
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DOI：
10.1007/978-3-540-30502-6_23
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发表时间：
2004-12
期刊：
影响因子：
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通讯作者：
Tsong Yueh Chen;H. Leung;I. K. Mak
中科院分区：
文献类型：
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作者：
Tsong Yueh Chen;H. Leung;I. K. Mak
在本文中，我们介绍了一种增强形式的随机测试称为自适应随机测试。自适应随机测试试图在输入空间内更均匀地分布测试用例。它基于这样的直觉：对于非点类型的故障模式，均匀分布的测试用例比普通的随机测试更有可能使用更少的测试用例来检测故障。使用已发布的程序进行实验。结果表明，自适应随机测试优于普通的随机测试显着（高达50%）的一套程序正在研究中。这些结果非常令人鼓舞，证明我们的直觉可能有助于提高随机测试的有效性。
In this paper, we introduce an enhanced form of random testing calledAdaptive Random Testing. Adaptive random testing seeks to distribute test cases more evenly within the input space. It is based on the intuition that for non-point types of failure patterns, an even spread of test cases is more likely to detect failures using fewer test cases than ordinary random testing. Experiments are performed using published programs. Results show that adaptive random testing does outperform ordinary random testing significantly (by up to as much as 50%) for the set of programs under study. These results are very encouraging, providing evidences that our intuition is likely to be useful in improving the effectiveness of random testing.