This is an old revision of the document!
Mining Source Code Descriptions from Developer Communications
Sebastiano Panichella,Jairo Aponte, Massimiliano Di Penta,Andrian Marcus,Gerardo Canfora
Dept. of Engineering-RCOST, University of Sannio, Italy
Universidad Nacional de Colombia, Bogota, Colombia
Wayne State University, Detroit USA
Problem: Filtering of large unstructured data from developer emails and bug tracking systems.
Importance/Applications of the technique: Automatic mining of source code descriptions from bug tracking systems and mailing lists. Source code re-documentation.
Approach:
problematic API features
Evaluation:
Critique
