A Large-Scale Study on Source Code Reviewer Recommendation
This project deals with optimal recommendations of source code reviewers for open source projects. It contains the implementation of RevFinder algorithm (http://ieeexplore.ieee.org/document/7081824/), ReviewBot algorithm (https://labs.vmware.com/download/198/) and of a novel Naive Bayes-based Code Reviewers Recommendation Algorithm.
If you use the provided source code and data set, please cite:
Lipcak, J., Rossi, B. (2018) A Large-Scale Study on Source Code Reviewer Recommendation, in 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2018, IEEE.
Build and Run:
The aplication has the following requirements:
- Apache Maven has to be installed.
- JDK (at least version 8) has to be installed and JAVA_HOME environment variable has to be set and point to the JDK installation.
After the aforementioned steps are done, the application can be compiled and launched from its root folder using the following command: