Heuristics for improving the rigour and relevance of grey literature searches for software engineering research

Rainer, Austen and Williams, Ashley ORCID: https://orcid.org/0000-0002-6888-0521 (2018) Heuristics for improving the rigour and relevance of grey literature searches for software engineering research. Information and Software Technology, 106. pp. 231-233. ISSN 0950-5849

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Abstract

Background: Software engineering research has a growing interest in grey literature (GL). Aim: To improve the identification of relevant and rigorous GL. Method: We develop and demonstrate heuristics to find more relevant and rigorous GL. The heuristics generate stratified samples of search and post–search datasets using a formally structured set of search keywords. Conclusion: The heuristics require further evaluation. We are developing a tool to implement the heuristics.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	23 Jan 2020 11:24
Publisher:	Elsevier
Additional Information:	This is an Author Accepted Manuscript of a paper accepted for publication in Information and Software Technology, published by and copyright Elsevier.
Divisions:	Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science
Subject terms:	Grey literature review, search engines, reasoning, quality criteria, Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Software Engineering, Computer Science, Software Engineering, 0803 Computer Software, 0806 Information Systems
URI:	https://e-space.mmu.ac.uk/id/eprint/624903
DOI:	https://doi.org/10.1016/j.infsof.2018.10.007
ISSN	0950-5849
e-ISSN	1873-6025

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