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review-article

A systematic process for Mining Software Repositories: : Results from a systematic literature review

Author:

M. VidoniAuthors Info & Claims

Volume 144, Issue C

https://doi.org/10.1016/j.infsof.2021.106791

Published: 01 April 2022 Publication History

Abstract

Context:

Mining Software Repositories (MSR) is a growing area of Software Engineering (SE) research. Since their emergence in 2004, many investigations have analysed different aspects of these studies. However, there are no guidelines on how to conduct systematic MSR studies. There is a need to evaluate how MSR research is approached to provide a framework to do so systematically.

Objective:

To identify how MSR studies are conducted in terms of repository selection and data extraction. To uncover potential for improvement in directing systematic research and providing guidelines to do so.

Method:

A systematic literature review of MSR studies was conducted following the guidelines and template proposed by Mian et al. (which refines those provided by Kitchenham and Charters). These guidelines were extended and revised to provide a framework for systematic MSR studies.

Results:

MSR studies typically do not follow a systematic approach for repository selection, and many do not report selection or data extraction protocols. Furthermore, few manuscripts discuss threats to the study’s validity due to the selection or data extraction steps followed.

Conclusions:

Although MSR studies are evidence-based research, they seldom follow a systematic process. Hence, there is a need for guidelines on how to conduct systematic MSR studies. New guidelines and a template have been proposed, consolidating related studies in the MSR field and strategies for systematic literature reviews.

Highlights

•

Systematic literature review examining the process of MSR studies.

•

Provides a systematic approach for MSR research with a protocol template.

•

Proposes guidelines derived from existing processes, consolidating prior works.

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Information and Software Technology Volume 144, Issue C

Apr 2022

211 pages

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https://dl.acm.org/doi/10.1145/3559712.3559716

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