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A quantitative framework for integrated software quality measurement in multi-versions systems

机译:多版本系统中集成软件质量度量的定量框架

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Code measurements through software metrics provide a basis for quantifying quality attributes of higher abstraction levels. Along with this core constituent, bugs/vulnerability databases and change-logs are certain dynamic repositories, which can supplement the information provided by quality parameters derived, in more productive ways. This paper proposes a quantitative framework for integrated software quality measurement which is especially useful in Multi-versions systems to ascertain their relative progression with each successive release. The idea is to annotate the information mapped from bugs/vulnerability reports with quality attributes obtained from code metrics. Finally, some instances have also been given demonstrating the approach to determine the relation between the two practically. Additionally, this approach can be used to validate the trend analyses of metrics drawn from dynamic realms with each individual quality attribute derived statically.
机译:通过软件指标进行的代码测量为量化更高抽象级别的质量属性提供了基础。除此核心组成部分外,错误/漏洞数据库和更改日志是某些动态存储库,可以以更有效率的方式补充派生的质量参数所提供的信息。本文提出了一种用于集成软件质量度量的定量框架,该框架在多版本系统中特别有用,可确定它们在每个后续版本中的相对进度。这个想法是用从代码度量获得的质量属性注释从错误/漏洞报告映射的信息。最后,还给出了一些实例,说明了实际确定两者之间关系的方法。此外,此方法可用于验证从动态领域中提取的指标的趋势分析,其中每个静态质量属性都是静态导出的。

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