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Evaluating usefulness of software metrics: An industrial experience report

机译:评估软件指标的实用性:行业经验报告

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A wide range of software metrics targeting various abstraction levels and quality attributes have been proposed by the research community. For many of these metrics the evaluation consists of verifying the mathematical properties of the metric, investigating the behavior of the metric for a number of open-source systems or comparing the value of the metric against other metrics quantifying related quality attributes. Unfortunately, a structural analysis of the usefulness of metrics in a real-world evaluation setting is often missing. Such an evaluation is important to understand the situations in which a metric can be applied, to identify areas of possible improvements, to explore general problems detected by the metrics and to define generally applicable solution strategies. In this paper we execute such an analysis for two architecture level metrics, Component Balance and Dependency Profiles, by analyzing the challenges involved in applying these metrics in an industrial setting. In addition, we explore the usefulness of the metrics by conducting semi-structured interviews with experienced assessors. We document the lessons learned both for the application of these specific metrics, as well as for the method of evaluating metrics in practice.
机译:研究社区已经提出了针对各种抽象级别和质量属性的各种软件指标。对于这些指标中的许多指标,评估包括验证指标的数学特性,调查许多开源系统的指标行为或将指标的值与量化相关质量属性的其他指标进行比较。不幸的是,经常缺少对度量在实际评估环境中的有用性的结构分析。这样的评估对于理解可以应用度量的情况,识别可能的改进区域,探索度量检测到的一般问题以及定义通常适用的解决方案策略非常重要。在本文中,我们通过分析在工业环境中应用这些指标所涉及的挑战,对两个体系结构级别的指标Component Balance和Dependency Profile进行了这种分析。此外,我们通过与经验丰富的评估者进行半结构化访谈来探讨指标的实用性。我们记录从这些特定指标的应用以及在实践中评估指标的方法获得的经验教训。

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