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https://hdl.handle.net/2440/132213
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Type: | Conference paper |
Title: | An evidence-based inquiry into the use of grey literature in software engineering |
Author: | Zhang, H. Zhou, X. Huang, X. Huang, H. Babar, M.A. |
Citation: | International Conference on Software Engineering, 2020, pp.1422-1434 |
Publisher: | Association for Computing Machinery |
Publisher Place: | online |
Issue Date: | 2020 |
Series/Report no.: | International Conference on Software Engineering |
ISBN: | 9781450371216 |
ISSN: | 0270-5257 |
Conference Name: | International Conference on Software Engineering (ICSE) (6 Jul 2020 - 11 Jul 2020 : virtual online) |
Statement of Responsibility: | He Zhang, Xin Zhou, Xin Huang, Huang Huang, Muhammad Ali Babar |
Abstract: | Context: Following on other scientific disciplines, such as health sciences, the use of Grey Literature (GL) has become widespread in Software Engineering (SE) research. Whilst the number of papers incorporating GL in SE is increasing, there is little empirically known about different aspects of the use of GL in SE research. 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, and surveyed the authors of the selected papers included in the SLR (as GL users) and the invited experts in 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. There is an apparent need for research to develop guidelines for using GL in SE and for assessing quality of GL. The current work can provide a panorama of the state-of-the-art of using GL in SE for the follow-up research, as to determine the important position of GL in SE research. |
Keywords: | Grey literature; systematic (literature) review; survey; evidencebased software engineering; empirical software engineering |
Rights: | © 2020 Association for Computing Machinery. |
DOI: | 10.1145/3377811.3380336 |
Published version: | https://dl.acm.org/doi/proceedings/10.1145/3377811 |
Appears in Collections: | Computer Science publications |
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