Communicating Study Design Trade-offs in Software Engineering

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Software Engineering and Methodology Pub Date : 2024-03-02 DOI:10.1145/3649598
Martin P. Robillard, Deeksha M. Arya, Neil A. Ernst, Jin L.C. Guo, Maxime Lamothe, Mathieu Nassif, Nicole Novielli, Alexander Serebrenik, Igor Steinmacher, Klaas-Jan Stol
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Abstract

Reflecting on the limitations of a study is a crucial part of the research process. In software engineering studies, this reflection is typically conveyed through discussions of study limitations or threats to validity. In current practice, such discussions seldom provide sufficient insight to understand the rationale for decisions taken before and during the study, and their implications. We revisit the practice of discussing study limitations and threats to validity and identify its weaknesses. We propose to refocus this practice of self-reflection to a discussion centered on the notion of trade-offs. We argue that documenting trade-offs allows researchers to clarify how the benefits of their study design decisions outweigh the costs of possible alternatives. We present guidelines for reporting trade-offs in a way that promotes a fair and dispassionate assessment of researchers’ work.

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沟通软件工程中研究设计的权衡取舍
对研究局限性的反思是研究过程的重要组成部分。在软件工程研究中,这种反思通常是通过对研究局限性或有效性威胁的讨论来传达的。在当前的实践中,这种讨论很少能提供足够的见解,让人理解在研究之前和研究过程中所做决定的理由及其影响。我们重新审视了讨论研究局限性和有效性威胁的做法,并找出了其不足之处。我们建议将这种自我反思的做法重新聚焦到以权衡概念为中心的讨论上。我们认为,记录权衡可以让研究人员澄清其研究设计决策的收益如何大于可能的替代方案的成本。我们提出了报告权衡的指导原则,以促进对研究人员的工作进行公平、冷静的评估。
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来源期刊
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology 工程技术-计算机:软件工程
CiteScore
6.30
自引率
4.50%
发文量
164
审稿时长
>12 weeks
期刊介绍: Designing and building a large, complex software system is a tremendous challenge. ACM Transactions on Software Engineering and Methodology (TOSEM) publishes papers on all aspects of that challenge: specification, design, development and maintenance. It covers tools and methodologies, languages, data structures, and algorithms. TOSEM also reports on successful efforts, noting practical lessons that can be scaled and transferred to other projects, and often looks at applications of innovative technologies. The tone is scholarly but readable; the content is worthy of study; the presentation is effective.
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