Nighthawk: a two-level genetic-random unit test data generator
Nighthawk: a two-level genetic-random unit test data generator
复制标题
Nighthawk：两级遗传随机单元测试数据生成器
DOI：
--
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
T. Menzies
中科院分区：
文献类型：
--
作者：
J. Andrews;F. C. H. Li;T. Menzies
随机测试已被证明是一种有效的软件单元测试方法。然而，随机单元测试的彻底性根据某些参数的设置而变化很大，例如调用方法的相对频率。在本文中，我们描述了一个系统，它使用遗传算法来寻找参数的随机单元测试，优化测试覆盖率。我们将我们的覆盖结果与之前的工作进行比较，并报告有关系统选项的案例研究和实验
Randomized testing has been shown to be an effective method fortesting software units. However, the thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such as the relative frequencies with which methods are called. In this paper, we describe a system which uses agenetic algorithm to find parameters for randomized unit testing that optimize test coverage. We compare our coverage results to previous work, and report on case studies and experiments on system options