期刊文献+

考虑历史数据的软件可信演化分析方法

Software Dependable Evolution Analysis Method Considering Software Historical Behavior Data
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摘要 针对软件可信演化中对软件可信性相关属性的需求,提出一种考虑历史数据的软件可信演化分析方法。通过收集软件演化的历史数据,提取软件可信演化相关属性并进行量化,建立软件可信演化着色原则,构建软件可信演化分析图。实验结果表明,通过对软件可信演化分析图中演化单元的观察,可实时、有效、直观地得到内嵌在演化数据中的隐藏信息,以此分析出软件演化是否为可信演化,从而为演化数据的分析提供支持。 According to the dependability need in software dependable evolution,a software dependable evolution analy- sis method considering software historical behavior data was proposed. By collecting historical behavior data in software evolution,the method extracts and computes related properties of software dependable evolution, establishs coloring principle and builds software evolution analysis chart. Hidden information embedded in evolution data is gotten real- timely,effectively and intuitively through observing software unit in software evolution analysis chart. It can analyze whether evolution is dependable or not to support evolution data analysis.
出处 《计算机科学》 CSCD 北大核心 2013年第5期173-176,共4页 Computer Science
基金 国家自然科学基金资助项目(60873036 60973027) 中央高校基本科研业务费专项资金(HEUCF100601) 黑龙江省自然科学基金(F201037) 哈尔滨市科技创新人才研究专项基金(2011RFQXG007) 黑龙江省教育厅科学技术研究项目(12521135)资助
关键词 软件 软件可信演化 软件可信性 分析 Software Software dependable evolution Software dependability Analysis
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