如何看待灰色文献在软件工程中的使用

Xiaoxia Zhou
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引用次数: 4

摘要

背景:继其他科学学科(如健康科学)之后,灰色文献(GL)的使用在软件工程(SE)研究中变得越来越广泛。虽然将GL纳入SE研究的论文数量正在增加,但在SE研究中使用GL的不同方面,我们的经验知之甚少。目的:我们的研究旨在系统地回顾GL在SE中的使用,实证地探讨SE研究者对GL的看法,为GL在SE中的使用以及对GL的质量评估提供指导。方法:采用混合方法进行研究。我们对GL在SE中的应用进行了系统文献综述(SLR)。然后,我们对SLR收录的论文作者(作为GL用户)和SE社区邀请的专家进行了关于GL在SE研究中的使用的调查。结果:我们系统地选择并回顾了102项将GL纳入SE研究的SE二级研究,根据他们的报告,我们将其分为两组:1)76篇综述仅声称使用GL;2) 26篇综述报告了GL的结果,我们还获得了20篇来自GL用户的回复和24篇来自受邀SE专家的回复。结论:对GL在SE中的意义没有统一的认识。研究人员以各种方式定义了GL的范围和定义。我们发现了在SE研究中使用GL的五个主要原因。这些发现使我们能够提出GL在SE研究生命周期中如何工作的概念模型。在接下来的工作中,需要研究制定在SE中使用GL和评估GL质量的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Treat the Use of Grey Literature in Software Engineering
Context: Following on other scientific disciplines, such as health sciences, the use of grey literature (GL) is becoming widespread in Software Engineering (SE) research. Whilst the number of papers incorporating GL on SE is increasing, there is little empirically known about different aspects of the use of GL in SE research. In particular, there is a lack of excellent evaluation standard for the quality of GL.Aim: Our research is aimed at systematically reviewing the use of GL in SE, empirically exploring SE researchers’ views on GL and providing a guide for using GL in SE and for quality assessment of the GL to be included.Method: We used a mixed-methods approach for this research. We carried out a Systematic Literature Review (SLR) of the use of GL in SE. Then we surveyed the authors of the papers included in the SLR (as GL users) and the invited experts in the SE community on the use of GL in SE research.Results: We systematically selected and reviewed 102 SE secondary studies that incorporate GL in SE research, from which we identified two groups based on their reporting: 1) 76 reviews only claim their use of GL; 2) 26 reviews report the results by including GL. We also obtained 20 replies from the GL users and 24 replies from the invited SE experts.Conclusion: There is no common understanding of the meaning of GL in SE. Researchers define the scopes and the definitions of GL in a variety of ways. We found five main reasons of using GL in SE research. The findings have enabled us to propose a conceptual model for how GL works in SE research lifecycle. In the next work There is a need for research to develop guidelines for using GL in SE and for assessing quality of GL.
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