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

Author

Rahman, Md Mainur ; Ruhe, Guenther ; Zimmermann, Thomas

Author_Institution

Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada

fYear

2009

fDate

15-16 Oct. 2009

Firstpage

439

Lastpage

442

Abstract

Decisions on ldquoWho should fix this bugrdquo have substantial impact on the duration of the process and its results. In this paper, optimized strategies for the assignment of the ldquorightrdquo developers for doing the ldquorightrdquo 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.

Keywords

greedy algorithms; learning (artificial intelligence); program debugging; resource allocation; Greedy search; bug fixing; developer assignment; look-ahead time parameter; open source Eclipse JDT project; Computer bugs; Computer science; Human resource management; Laboratories; Resource management; Scheduling; Software debugging; Software engineering; Software measurement; Writing; Empirical evaluation; bug fixing; human resource management; open source data;

fLanguage

English

Publisher

ieee

Conference_Titel

Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on

Conference_Location

Lake Buena Vista, FL

ISSN

1938-6451

Print_ISBN

978-1-4244-4842-5

Electronic_ISBN

1938-6451

Type

conf

DOI

10.1109/ESEM.2009.5316025

Filename

5316025