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Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation

机译:使用实验设计分析开源软件度量标准以进行变更影响评估

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摘要

Software evolution control mostly relies on the better structure of the inherent software artifacts and the evaluation of different qualitative factors like maintainability. The attributes of changeability are commonly used to measure the capability of the software to change with minimal side effects. This article describes the use of the design of experiments method to evaluate the influence of variations of software metrics on the change impact in developed software. The coupling metrics are considered to analyze their degree of contribution to cause a change impact. The data from participant software metrics are expressed in the form of mathematical models. These models are then validated on different versions of software to estimate the correlation of coupling metrics with the change impact. The proposed approach is evaluated with the help of a set of experiences which are conducted using statistical analysis tools. It may serve as a measurement tool to qualify the significant indicators that can be included in a Software Maintenance dashboard.
机译:软件演化控制主要依赖于固有软件构件的更好结构以及对不同定性因素(如可维护性)的评估。可变性属性通常用于衡量软件以最小的副作用进行更改的能力。本文介绍了使用实验方法的设计来评估软件指标变化对已开发软件的变更影响的影响。考虑使用耦合度量来分析它们对变更影响的贡献程度。来自参与者软件指标的数据以数学模型的形式表示。然后在不同版本的软件上验证这些模型,以估计耦合度量与变更影响之间的相关性。建议的方法是在使用统计分析工具进行的一组经验的帮助下进行评估的。它可以用作衡量工具的标准,以限定可以包含在软件维护仪表板中的重要指标。

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