Relationships Between Selected Software Measures and Latent Bug-Density: Guidelines for Improving Quality
Relationships Between Selected Software Measures and Latent Bug-Density: Guidelines for Improving Quality
复制标题
选定的软件措施与潜在错误密度之间的关系：提高质量的指南
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
V. Bhavsar
中科院分区：
文献类型：
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作者：
S. Misra;V. Bhavsar
对于软件从业者来说，从开发的早期阶段开始监视和控制软件的质量是具有成本效益的。为了解决这个问题，我们进行了一项研究，旨在调查15种预测性设计/代码度量与bug密度之间的关系。选出了30个各具特色的项目。进行了实验分析。研究发现，研究中考虑的大多数指标都与虫子密度有很强的关系。另一方面，很少有指标没有显示出任何显著的关系。该研究提供了宝贵的经验教训，可以帮助软件工程师从开发的早期阶段开始管理质量。该工作的一些主要贡献是：对大量软件项目的调查，在一项研究中考虑大量的预测性软件度量，在公共平台上比较这些度量的结果，以及从软件开发的早期阶段控制质量所获得的经验教训。
It is cost-effective for software practitioners to monitor and control the quality of software from the early phases of development. To address this issue, a study aimed at investigating relationships between fifteen predictive design/code measures and bug-density was undertaken. Thirty projects having varied characteristics were chosen. An experimental analysis was performed. It was discovered that most of the metrics considered in the study have strong relationship with bug-density. On the other hand, few metrics do not demonstrate any remarkable relationship. The study provides invaluable lessons that should facilitate software engineers to administer quality from the early phases of development. Some of the major contributions of the work are: investigation of a large number of software projects, consideration of a large number of predictive software measures in one study, comparison of the results of these measures on a common platform, and lessons learned for controlling quality from early stages of software development.