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An evidence-based inquiry into the use of grey literature in software engineering

Published: 01 October 2020 Publication History

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.

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cover image ACM Conferences
ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
June 2020
1640 pages
ISBN:9781450371216
DOI:10.1145/3377811
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2020

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Author Tags

  1. empirical software engineering
  2. evidence-based software engineering
  3. grey literature
  4. survey
  5. systematic (literature) review

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  • (2023)Node Overlapping Detection for Draggable Node-Based Applications2023 IEEE International Conference on Contemporary Computing and Communications (InC4)10.1109/InC457730.2023.10262840(1-5)Online publication date: 21-Apr-2023
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