Externalization of software behavior by the mining of norms

Authors

Daniel Avery, University of WollongongFollow
Bastin Tony Roy Savarimuthu, University of OtagoFollow
Hoa K. Dam, University of WollongongFollow
Aditya K. Ghose, University of WollongongFollow

RIS ID

108188

Publication Details

Avery, D., Savarimuthu, B., Dam, H. Khanh. & Ghose, A. (2016). Externalization of software behavior by the mining of norms. Proceedings of the 13th International Conference on Mining Software Repositories (pp. 223-234). New York, NY, United States of America: ACM.

Abstract

Open Source Software Development (OSSD) often suffers from conflicting views and actions due to the perceived flat and open ecology of an open source community. This often manifests itself as a lack of codified knowledge that is easily accessible for community members. How decisions are made and expectations of a software system are often described in detail through the many forms of social communications that take place within a community. These social interactions form norms which are influential in dictating what behaviors are expected in a community and of the system. In this paper, we provide a tool which mines these social interactions (in the form of bug reports) and extract norms of the system, externalizing this information into a codified form that allows others within the community to be aware of without having witnessed the social interactions.