The CodRep Machine Learning on Source Code Competition
It provides a common platform for interaction between the machine learning and software engineering communities, but it is incremental as it focuses on competition design rather than new methods or results.
The paper introduced CodRep, a machine learning competition on source code data designed to be accessible to a wide audience, including researchers, students, and independent scholars, without requiring specific expertise in machine learning or program analysis, and it ran from April to October 2018 with data hosted on GitHub.
CodRep is a machine learning competition on source code data. It is carefully designed so that anybody can enter the competition, whether professional researchers, students or independent scholars, without specific knowledge in machine learning or program analysis. In particular, it aims at being a common playground on which the machine learning and the software engineering research communities can interact. The competition has started on April 14th 2018 and has ended on October 14th 2018. The CodRep data is hosted at https://github.com/KTH/CodRep-competition/.