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

Austen Rainer*, Ashley Williams

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)231-233
Number of pages3
JournalInformation and Software Technology
Volume106
Early online date12 Oct 2018
DOIs
Publication statusPublished - 01 Feb 2019
Externally publishedYes

Keywords

  • Grey literature review
  • Quality criteria
  • Reasoning
  • Search engines

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications

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