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

Content Provider	IEEE Xplore Digital Library
Author	Rahman, M.M. Ruhe, G. Zimmermann, T.
Copyright Year	2009
Description	Author affiliation: Microsoft Research One Microsoft Way Redmond, WA 98052, USA (Zimmermann, T.) \|\| Software Engineering Decision Support Laboratory University of Calgary Calgary, Canada (Ruhe, G.) \|\| Department of Computer Science University of Calgary Calgary, Canada (Rahman, M.M.)
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.
Starting Page	439
Ending Page	442
File Size	966562
Page Count	4
File Format	PDF
ISBN	9781424448425
ISSN	19386451
DOI	10.1109/ESEM.2009.5316025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laboratories Scheduling bug fixing human resource management open source data Software debugging Computer science Computer bugs Writing Software measurement Resource management Human resource management Empirical evaluation Software engineering
Content Type	Text
Resource Type	Article

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