论文信息 - Heuristics for improving the rigour and relevance of grey literature searches for software engineering research

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

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.

Austen Rainer | Ashley Williams | A. Rainer | A. Williams

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