制定软件工程实验参与者甄选方法。 (Towards a Methodology for Participant Selection in Software Engineering Experiments. A Vision of the Future)

Background. Software Engineering (SE) researchers extensively perform experiments with human subjects. Well-defined samples are required to ensure external validity. Samples are selected \textit{purposely} or by \textit{convenience}, limiting the generalizability of results. Objective. We aim to depict the current status of participants selection in empirical SE, identifying the main threats and how they are mitigated. We draft a robust approach to participants' selection. Method. We reviewed existing participants' selection guidelines in SE, and performed a preliminary literature review to find out how participants' selection is conducted in SE in practice. % and 3) we summarized the main issues identified. Results. We outline a new selection methodology, by 1) defining the characteristics of the desired population, 2) locating possible sources of sampling available for researchers, and 3) identifying and reducing the "distance" between the selected sample and its corresponding population. Conclusion. We propose a roadmap to develop and empirically validate the selection methodology.

翻译：软件工程(SE) 研究人员广泛开展人体实验。为确保外部有效性,需要定义明确的样本。样本被选中 \ textit{ 目的} 或 \ textit{ convency}, 限制结果的可概括性。目标。我们的目标是描述经验性 SE 中参与者选择的当前状况,确定主要威胁和如何减轻威胁。我们起草了一个强有力的参与者选择方法。方法。我们审查了SE 中的现有参与者选择指南,并进行了初步文献审查,以了解参与者的选择在实践中是如何在 SE 中进行的。% 和 3 。我们总结了所查明的主要问题。结果。我们概述了新的选择方法,1) 界定了理想人群的特点,2) 确定了研究人员可用的可能的抽样来源,3) 确定和减少选定样本与相应人群之间的“距离。结论。我们提出了一份路线图,以制定并用经验验证选择方法。