Adding relevance to rigor: Assessing the contributions of SLRs in Software Engineering through Citation Context Analysis

IF 13.3 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Oscar Díaz , Marcela Genero , Jeremías P. Contell , Mario Piattini
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引用次数: 0

Abstract

Research in Software Engineering greatly benefits from Systematic Literature Reviews (SLRs), in view of the citations they receive. While there has been a focus on improving the quality of SLRs in terms of the process, it remains unclear if this emphasis on rigor has also led to an increase in relevance. This study introduces Citation Context Analysis for SLRs as a method to go beyond simple citation counting by examining the reasons behind citations. To achieve this, we propose the Resonance Scheme, which characterizes how referring papers use SLRs based on the outputs that SLRs can provide, either backward-oriented (such as synthesis or aggregating evidence) or forward-oriented (such as theory building or identifying research gaps). A proof-of-concept demonstrates that most referring papers appreciate SLRs for their synthesis efforts, while only a small number refer to forward-oriented outputs. This approach is expected to be useful for three stakeholders. First, SLR producers can use the scheme to capture the contributions of their SLRs. Second, SLR consumers, such as Ph.D. students looking for research gaps, can easily identify the contributions of interest. Third, SLR reviewers can use the scheme as a tool to assess the contributions that merit SLR publication.

为严谨性添加相关性:通过引文上下文分析评估软件工程中 SLR 的贡献
从系统文献综述 (SLR) 的引用率来看,软件工程领域的研究大大受益于系统文献综述 (SLR)。虽然人们一直在关注如何从流程上提高 SLR 的质量,但对严谨性的强调是否也导致了相关性的提高,这一点仍不清楚。本研究介绍了 SLR 的引文背景分析方法,该方法通过研究引文背后的原因,超越了简单的引文计数。为此,我们提出了 "共振方案"(Resonance Scheme),该方案根据 SLR 所能提供的产出,或面向后方(如综合或汇总证据),或面向前方(如理论构建或确定研究差距),来描述引用论文如何使用 SLR。概念验证表明,大多数参考文献赞赏 SLR 的综合工作,而只有少数参考文献提及前瞻性产出。这种方法预计将对三个利益相关者有用。首先,可持续土地资源生产者可使用该计划来记录其可持续土地资源的贡献。其次,SLR 消费者,如寻找研究空白的博士生,可轻松识别感兴趣的贡献。第三,SLR 审核人员可将该计划作为一种工具,用于评估值得发表 SLR 的贡献。
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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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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