Sept. 24, 2006 to Sept. 27, 2006
Paul Baker , Motorola Labs, Viables Estate, UK
Mark Harman , Motorola Labs, Viables Estate, UK
Kathleen Steinhofel , Motorola Labs, Viables Estate, UK
Alexandros Skaliotis , Motorola Labs, Viables Estate, UK
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.
Paul Baker, Mark Harman, Kathleen Steinhofel, Alexandros Skaliotis, "Search Based Approaches to Component Selection and Prioritization for the Next Release Problem", ICSM, 2006, 22nd IEEE International Conference on Software Maintenance, 22nd IEEE International Conference on Software Maintenance 2006, pp. 176-185, doi:10.1109/ICSM.2006.56