面向实证软件工程研究的开源软件项目策划模型

J. A. Carruthers
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引用次数: 0

摘要

软件项目是经验软件工程(ESE)中的常见输入,它们通常在没有遵循特定策略的情况下被选择,从而导致有偏差的样本。为了避免这个问题,研究人员选择使用公开可用的数据集,而不是自己选择项目。但是,有些数据集没有维护,包含旧版本的项目,甚至是不推荐的项目。随着时间的推移,由于开发实践和技术的重大变化,这可能会引起一些代表性问题。本研究的主要目标是开发一个过程模型,以构建和维护带有产品质量度量的软件项目数据集,以支持ESE研究的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-Source Software Projects Curating Model for Empirical Software Engineering Studies
Software projects are common inputs in Empirical Software Engineering (ESE), and they are often selected without following a specific strategy, leading to biased samples. To avoid this problem, researchers choose to use publicly available datasets instead of picking the projects themselves. However, some datasets are not maintained, containing old versions of projects, or even deprecated ones. This may raise some representativeness issues due to major changes in development practices and technologies over time. The main goal of this research is to develop a procedures model to construct and maintain a software project dataset with their product quality metrics, to support the development of ESE studies.
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