A retrospective study of one decade of artifact evaluations

A retrospective study of one decade of artifact evaluations
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十年工件评估的回顾性研究

DOI:
10.1145/3540250.3549172
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发表时间:
2022
期刊:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
影响因子:
--
通讯作者:
Beyer, Dirk
Beyer, Dirk
中科院分区:
--
文献类型:
--
作者:
Winter, Stefan;Timperley, Christopher S.;Hermann, Ben;Cito, Jürgen;Bell, Jonathan;Hilton, Michael;Beyer, Dirk

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大多数软件工程研究都涉及原型、概念验证或测量仪器的开发。与研究过程中收集的数据一起,它们被统称为研究工件,并在科学会议上进行工件评估(AE)。自2011年ESEC/FSE在SE社区发起以来,AE的目标和过程都发生了变化,今天对AE的期望与可重复的研究结果和可重复使用的工具密切相关,其他研究人员可以在此基础上开展工作。然而,迄今为止,很少有证据表明通过AE的工件实际上达到了这些高期望,即,AE过程在多大程度上有助于AE的目标,以及它们所施加的开销是否合理。我们的目标是通过对十年来软件工程(SE)和编程语言(PL)会议的研究成果进行深入分析来填补这一空白,并在此基础上反思我们社区中AE的目标和机制。总之,我们的分析(1)表明,包含伪影的文章通常在社区中没有更好的可见性,(2)提供证据证明评价和未评价的伪影在不同的质量标准方面有何不同,(3)强调进一步改进AE流程的机会。
Most software engineering research involves the development of a prototype, a proof of concept, or a measurement apparatus. Together with the data collected in the research process, they are collectively referred to as research artifacts and are subject to artifact evaluation (AE) at scientific conferences. Since its initiation in the SE community at ESEC/FSE 2011, both the goals and the process of AE have evolved and today expectations towards AE are strongly linked with reproducible research results and reusable tools that other researchers can build their work on. However, to date little evidence has been provided that artifacts which have passed AE actually live up to these high expectations, i.e., to which degree AE processes contribute to AE's goals and whether the overhead they impose is justified.We aim to fill this gap by providing an in-depth analysis of research artifacts from a decade of software engineering (SE) and programming languages (PL) conferences, based on which we reflect on the goals and mechanisms of AE in our community. In summary, our analyses (1) suggest that articles with artifacts do not generally have better visibility in the community, (2) provide evidence how evaluated and not evaluated artifacts differ with respect to different quality criteria, and (3) highlight opportunities for further improving AE processes.
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