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Evaluation of Halstead and Cyclomatic Complexity Metrics in Measuring Defect Density

机译:缺陷密度测量悬垂性和循环复杂度度量的评价

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Software metrics are used to get reproducible measurements that can be useful for quality assurance. A recent study analyzed the relation between Halstead Complexity (HC), Cyclomatic Complexity (CC), and the number of defects found in software. The number of software defects does not represent a uniform software metric and may not be generalized. This work examines the density of defects (DD) and its relationship with HC and CC metrics. We have used a well-coded open-source project. We have focused our analysis at the class level and examined potential patterns and correlations that may exist between these two software metrics and the density of defects. We found that HC and CC exhibit similar relationships to Defect Density metric. Furthermore, their strong positive linear correlation leads to the conclusion that HC and CC are two consistent software metrics with respect to density of defects.
机译:软件度量标准用于获得可重复的测量,可用于质量保证。最近的研究分析了霍斯特德复杂性(HC),循环复杂性(CC)之间的关系,以及软件中发现的缺陷数量。软件缺陷的数量不代表统一的软件度量,并且可能不会概括。这项工作探讨了缺陷(DD)的密度及其与HC和CC度量的关系。我们使用了一个编码的开源项目。我们已经将我们的分析集中在课程级别并检查了这两个软件度量和缺陷密度之间可能存在的潜在模式和相关性。我们发现HC和CC表现出与缺陷密度度量相似的关系。此外,它们的强阳性线性相关性导致结论,HC和CC是关于缺陷密度的两个一致的软件度量。

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