Optimized assignment of developers for fixing bugs an initial evaluation for eclipse projects

Authors:
Md. Mainur Rahman;Guenther Ruhe;Thomas Zimmermann
Affiliations:
Department of Computer Science University of Calgary Calgary, Canada;Software Engineering Decision Support Laboratory University of Calgary Calgary, Canada;Microsoft Research One Microsoft Way Redmond, WA 98052, USA
Venue:
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Year:
2009

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Abstract

Decisions on “Who should fix this bug” have substantial impact on the duration of the process and its results. In this paper, optimized strategies for the assignment of the “right” developers for doing the “right” task are studied and the results are compared to manual (called ad hoc) assignment. The quality of assignment is measured by the match between requested (from bugs) and available (from developers) competence profile. Different variants of Greedy search with varying parameter of look-ahead time are studied. The quality of the results has been evaluated for nine milestones of the open source Eclipse JDT project. The optimized strategies with largest look ahead time are demonstrated to be substantially better than the ad hoc solutions in terms of the quality of the assignment and the number of bugs which can be fixed within the given time interval.