A simplified analysis method for software testing result

被引:0
|
作者
Zhang Zhonglin [1 ]
Jia Limin [1 ]
机构
[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Peoples R China
来源
Advanced Computer Technology, New Education, Proceedings | 2007年
关键词
software reliability; Markov Chain; software testing; classical probability model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Software reliability test is one of the important parts in the process of the software designing. In the course of operating the software model, its transfer is orderly and every change in the sequence predicts the abnormity of the software. You can analyze the ordinal data with Markov Chain, its accuracy of predication is very sensitive to the change of the sequence, so it is a very useful method to analyze the software testing result, but the result is a little trivial. On the basis of Markov Chain, this paper is to change the matter about the software testing result analyzing to that about the classical probability. By the mathematics method, the software testing is simplified and thus reduces the complexity of the test, accelerates the generation of the testing case, shortens the period of the software testing and solves the difficulties of simplifying the testing case sets. From the cases, this method is proved relatively practical and efficient.
引用
收藏
页码:947 / 951
页数:5
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