The paper entitled “An extensive comparison of bug prediction approaches” by Prof. Michele Lanza and REVEAL alumni (Dr. Marco D’Ambros and Prof. Romain Robbes) wins Most Influential Paper Award at IEEE/ACM 17th International Conference on Mining Software Repositories (MSR 2020).
The awarded paper was published at MSR 2010. In the paper, the authors present a benchmark for defect prediction, in the form of a publicly available data set consisting of several software systems, and provide an extensive comparison of the explanative and predictive power of well-known bug prediction approaches, together with novel approaches.
The Mining Software Repositories (MSR) conference is the premier conference for data science, machine learning, and artificial intelligence in software engineering. The goal of the conference is to improve software engineering practices by uncovering interesting and actionable information about software systems and projects using the vast amounts of software data.