Scalable Automatic Extraction of Process Models for Understanding F/OSS Bug Repair

Abstract

In this paper, we present the method we have developed to analyze socio-technical aspects of software problem management in F/OSS communities, based on large corpora of problem reports; and we report on early results we obtained using our framework. Given the amount of data available, computational techniques to scalably extract event data and model the collectives' behaviors are needed. We are using a variety of techniques that couple human-based qualitative analysis with computational extraction and modeling to generate models of the processes involved in software problem management.