Reproducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the SZZ algorithm

Context Reproducibility of Empirical Software Engineering (ESE) studies is an essential part for improving their credibility, as it offers the opportunity to the research community to verify, evaluate and improve their research outcomes. Objective: We aim to study reproducibility and credibility in ESE with a case study, by investigating how they have been addressed in studies where SZZ, a widely-used algorithm by gliwerski, Zimmermann and Zeller to detect the origin of a bug, has been applied. Methodology: We have performed a systematic literature review to evaluate publications that use SZZ. In total, 187 papers have been analyzed for reproducibility, reporting of limitations and use of improved versions of the algorithm. Results: We have found a situation with a lot of room for improvement in ESE as reproducibility is not commonly found; factors that undermine the credibility of results are common. We offer some lessons learned and guidelines for researchers and reviewers to address this problem. Conclusion: Reproducibility and other related aspects that ensure a high quality scientific process should be taken more into consideration by the ESE community in order to increase the credibility of the research results.