Paper Info
Title
The multi-objective next release problem
Abstract
This paper is concerned with the Multi-Objective Next Release Problem (MONRP), a problem in search-based requirements engineering. Previous work has considered only single objective formulations. In the multi-objective formulation, there are at least two (possibly conflicting) objectives that the software engineer wishes to optimize. It is argued that the multi-objective formulation is more realistic, since requirements engineering is characterised by the presence of many complex and conflicting demands, for which the software engineer must find a suitable balance. The paper presents the results of an empirical study into the suitability of weighted and Pareto optimal genetic algorithms, together with the NSGA-II algorithm, presenting evidence to support the claim that NSGA-II is well suited to the MONRP. The paper also provides benchmark data to indicate the size above which the MONRP becomes non--trivial.
Year
DOI
Venue
2007
10.1145/1276958.1277179
GECCO
Keywords
Field
DocType
requirements engineering,conflicting demand,single objective formulation,search-based requirements engineering,multi-objective next release problem,benchmark data,software engineer,multi-objective formulation,pareto optimal genetic algorithm,nsga-ii algorithm,empirical study,software engineering,requirement engineering,genetic algorithm
Mathematical optimization,Computer science,Requirements engineering,Pareto optimal,Software,Single objective,Empirical research,Genetic algorithm
Conference
Citations 
PageRank 
References 
114
3.19
16
Authors
3
Search Limit
100114
Name
Order
Citations
PageRank
Yuanyuan Zhang160017.33
Mark Harman210264389.82
S. Afshin Mansouri364919.68