摘要
提出了一种全生命周期的软件可信性定量评估方法。首先,建立全周期软件可信评估模型,对生命周期各阶段软件可信性进行逐层分解,分别设计定量或定性度量指标;然后,利用知识发现原理,获取软件可信特征树的权值分布;利用数据融合理论,对获得的多类型多量纲的可信度量数据进行分布式综合处理与推理;最后,给出软件可信性评估实例。工程实践表明,该方法能够有效保障软件评估过程的客观性和评估结果的准确度。
This paper brings out a method on quantitative software trustworthy evaluation across software development life cycle. First, builds a hierarchical assessment model with decomposition of software trustworthy on the various stages of software development life cycle, designs appropriate quantitative or qualitative metrics set; then, using of knowledge discovery in database techniques to obtain the weights of all software trustworthy characteristics; finally, using of data fusion theory to process and reason large volumes of multi--type measurement data. Engineering practice shows that it can effectively improve objectivity of the assessment process and the accuracy of the assessment results.
出处
《计算机科学》
CSCD
北大核心
2013年第11A期192-195,213,共5页
Computer Science
关键词
软件定量评估
生命周期
数据融合
可信性
软件工程
Quantitative evaluation, Software development life neerlng cycle （SDLC）,Data fusion, Trustworthy, Software engi
