22nd IEEE International Conference on Software Maintenance (ICSM'06) Search Based Approaches to Component Selection and Prioritization for the Next Release Problem Philadelphia, Pennsylvania September 24-September 27 ISBN: 0-7695-2354-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSM.2006.56
This paper addresses the problem of determining the next set of releases in the course of software evolution. It formulates both ranking and selection of candidate software components as a series of feature subset selection problems to which search based software engineering can be applied. The approach is automated using greedy and simulated annealing algorithms and evaluated using a set of software components from the component base of a large telecommunications organisation. The results are compared to those obtained by a panel of (human) experts. The results show that the two automated approaches convincingly outperform the expert judgment approach.
Citation:
Paul Baker, Mark Harman, Kathleen Steinhofel, Alexandros Skaliotis, "Search Based Approaches to Component Selection and Prioritization for the Next Release Problem," icsm, pp.176-185, 22nd IEEE International Conference on Software Maintenance (ICSM'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||