Program slicing-based cohesion measurement: the challenges of replicating studies using metrics

David Bowes, T. Hall, Andrew Kerr
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引用次数: 4

Abstract

It is important to develop corpuses of data to test out the efficacy of using metrics. Replicated studies are an important contribution to corpuses of metrics data. There are few replicated studies using metrics reported in software engineering. To contribute more data to the body of evidence on the use of novel program slicing-based cohesion metrics. We replicate a very well regarded study by Meyers and Binkley [15, 16] which analyses the cohesion of open source projects using program slicing-based metrics. Our results are very different from Meyers and Binkley's original results. This suggests that there are a variety of opportunities for inconsistently to creep into the collection and analysis of metrics data during replicated studies. We conclude that researchers using metrics data must present their work with sufficient detail for replication to be possible. Without this detail it is difficult for subsequent researchers to accurately replicate a study such that consistent and reliable data can be added to a body of evidence.
基于程序切片的内聚度量:使用度量复制研究的挑战
开发数据库来测试使用指标的有效性是很重要的。重复研究是度量数据库的重要贡献。在软件工程中使用度量的重复研究很少。为使用新颖的基于程序切片的内聚度量的证据体提供更多数据。我们复制了Meyers和Binkley[15,16]的一项非常受欢迎的研究,该研究使用基于程序切片的度量来分析开源项目的内聚性。我们的结果与迈耶斯和宾克利的原始结果非常不同。这表明,在重复研究期间,不一致性有各种各样的机会潜入参数数据的收集和分析。我们的结论是,使用度量数据的研究人员必须以足够的细节来展示他们的工作,以使复制成为可能。如果没有这些细节,后续研究人员很难准确地重复一项研究,从而将一致和可靠的数据添加到证据体中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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