基于信息熵的适应性随机测试用例生成算法分析

Analysis of Adaptive Random Test Case Generation Algorithm Based on Information Entropy

文章对适应性随机测试理论基础进行分析,并在信息熵基础上对测试用例算法加以阐述,主要包括信息熵指标、算法应用、实证实验三项内容,通过文章研究可知,Entropy算法与其他算法相比,无论在高维还是低维空间情形下,均具有良好的失效检测能力。

This paper analyzes the theoretical basis of adaptive random testing,and explains the test case algorithm based on information entropy.It mainly includes three items:information entropy index,algorithm application,and empirical experiments.According to the research in this paper,Entropy algorithm and other compared with the algorithm,it has a good failure detection ability in both high-dimensional and low-dimensional space situations.