摘要
关于软件系统故障行为的统计假设,是软件可靠性模型的理论基础。由此产生应用中的不一致性,使用户对这些估测结果迷惑不解,“谁的结果最可信”?我们以“故障数据是软件可靠性分析的基础”为原则,采用人工智能技术,建立软件可靠性专家系统(SRES:Software Reliability Expert System),以解决软件可靠性模型应用中的不一致性难题。最后,报告该系统的使用及与国外一些软件可靠性量测工具的比较。
The statistical hypotheses about failure behavior of a software system are theoretical bases of software reliability models. And they introduce the inconsistency into software reliability analysis.' Failure data are the basis of software reliability analysis ,according to this principle, we built a software reliability expert system(SRES)by adopting the artificial intelligence technology. By reasoning out the conclusion from the fitting results of failure data of a software project,SRES can recommend users'the suitabel model' .We believe that SRES can overcome the inconsistency in applications of software reliability models.In this paper, at last,we compare SRES with some existing software reliability analysis tools.
出处
《计算机应用与软件》
CSCD
北大核心
2001年第7期36-41,共6页
Computer Applications and Software
基金
国家自然科学基金(编号:69373019)
