The Community for Technology Leaders
2013 10th Working Conference on Mining Software Repositories (MSR) (2007)
Minneapolis, Minnesota
May 20, 2007 to May 26, 2007
ISBN: 0-7695-2950-X
pp: 7
Olga Baysal , University of Waterloo, Canada
Andrew J. Malton , University of Waterloo, Canada
In this paper, we propose a method to reason about the nature of software changes by mining and correlating discussion archives. We employ an information retrieval approach to find correlation between source code change history and history of social interactions surrounding these changes. We apply our correlation method on two software systems, LSEdit and Apache Ant. The results of these exploratory case studies demonstrate the evidence of similarity between the content of free-form text emails among developers and the actual modifications in the code. We identify a set of correlation patterns between discussion and changed code vocabularies and discover that some releases referred to as minor should instead fall under the major category. These patterns can be used to give estimations about the type of a change and time needed to implement it.
Olga Baysal, Andrew J. Malton, "Correlating Social Interactions to Release History during Software Evolution", 2013 10th Working Conference on Mining Software Repositories (MSR), vol. 00, no. , pp. 7, 2007, doi:10.1109/MSR.2007.4
89 ms
(Ver 3.3 (11022016))