A Simplified Analysis Method for Software Testing Result
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.
software reliability markov chain software testing, classical probability model
ZHANG Zhonglin JIA Limin
School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou, 730070 China
国际会议
武汉
英文
947-951
2007-07-25（万方平台首次上网日期，不代表论文的发表时间）