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The Use of Grey Literature Review as Evidence for Practitioners

Published: 22 October 2020 Publication History

Abstract

Context: In the last years, diverse research areas increased their interest in Grey Literature (GL). In Software Engineering (SE), SE practitioners became heavy consumers of GL, by way of contrast to traditional research papers. Problem: This is unfortunate, in particular, although the increase of Systematic Literature Reviews (SLR) published, researchers, claim to the lack of them of connection to the practice. Goal: Propose and evaluate a set of guidelines to help SE researchers to conduct a Grey Literature Review (GLR) that are more in line with practitioners' needs. Method: First, we are conducting a tertiary study to understand how secondary studies use GL. Second, we plan to employ qualitative research with researchers of SLRs and SE practitioners. Third, we plan to review and analyze the use of GL source according to the context in SE. Fourth, we plan to conduct a GLR. Finally, we plan to perform and evaluate our guideline. Preliminary Results: The tertiary study retrieved a total of 14,043 papers. We removed the duplicate studies and also which were not peer-reviewed articles. Currently, we are solving the conflicts of disagreement of the selection process. Conclusions: We present preliminary findings, show our proposed approach and the next steps.

Cited By

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  • (2024)Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners’ voices from Stack OverflowInformation and Software Technology10.1016/j.infsof.2024.107477172(107477)Online publication date: Aug-2024
  • (2022)Investigating the Role of System Effectiveness in the Acquisition and Sustainment of U.S. Defense Systems: 1958 to 2022Systems10.3390/systems1005016910:5(169)Online publication date: 27-Sep-2022
  • (2022)On the utilization of non‐quality assessed literature in software engineering researchJournal of Software: Evolution and Process10.1002/smr.246434:7Online publication date: 24-May-2022
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Published In

cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 44, Issue 3
July 2019
100 pages
ISSN:0163-5948
DOI:10.1145/3356773
Issue’s Table of Contents
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2020
Published in SIGSOFT Volume 44, Issue 3

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Author Tags

  1. evidence- based software engineering
  2. grey literature
  3. systematic literature review

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Cited By

View all
  • (2024)Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners’ voices from Stack OverflowInformation and Software Technology10.1016/j.infsof.2024.107477172(107477)Online publication date: Aug-2024
  • (2022)Investigating the Role of System Effectiveness in the Acquisition and Sustainment of U.S. Defense Systems: 1958 to 2022Systems10.3390/systems1005016910:5(169)Online publication date: 27-Sep-2022
  • (2022)On the utilization of non‐quality assessed literature in software engineering researchJournal of Software: Evolution and Process10.1002/smr.246434:7Online publication date: 24-May-2022
  • (2020)The Use of Grey Literature and Google Scholar in Software Engineering Systematic Literature Reviews2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC48688.2020.0-121(1099-1100)Online publication date: Jul-2020
  • (2020)On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software EngineeringIEEE Access10.1109/ACCESS.2020.29717128(36226-36243)Online publication date: 2020

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