收稿日期: 2012-04-12
修回日期: 2012-08-30
网络出版日期: 2013-07-15
基金资助
国家自然科学基金重点项目(90818021,9071803)资助
Software fault classification prediction model based on Markov chain
Received date: 2012-04-12
Revised date: 2012-08-30
Online published: 2013-07-15
易锦 , 罗峋 , 凹建勋 , 杨光宇 , 罗平 . 基于马尔科夫链的软件故障分类预测模型[J]. 中国科学院大学学报, 2013 , 30(4) : 562 -567 . DOI: 10.7523/j.issn.2095-6134.2013.04.019
Traditional software reliability models did not consider the severity of the fault affected the reliability of software. However, in many occasions, such as software trustworthy study, we must consider not only the software failure rate, the total number of faults, and failure interval time, but also the severity of the impact on software reliability. For solving the above problem, we propose a prediction method based on Markov chain, which can be used to predict the software failure types, that is, to predict software failure severity occurring in the future.This classification prediction method can fully describe failures caused by software failure.
Key words： software reliability; Markov chain; severity; software trustworthiness
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