Paper Info
Title
Today/future importance analysis
Abstract
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a system. Unfortunately, it has been widely observed that requirements tend to be changed as the development process proceeds and what is suitable for today, may not serve well into the future. Though SBSE has been widely applied to requirements analysis, there has been no previous work that seeks to balance the requirements needs of today with those of the future. This paper addresses this problem. It introduces a multi-objective formulation of the problem which is implemented using multi-objective Pareto optimal evolutionary algorithms. The paper presents the results of experiments on both synthetic and real world data.
Year
DOI
Venue
2010
10.1145/1830483.1830733
Genetic and Evolutionary Computation Conference
Keywords
Field
DocType
though sbse,suitable set,multi-objective genetic algorithms,future importance analysis,sbse technique,pareto optimality,pareto optimal evolutionary algorithm,today/future,prioritization problem,development process proceed,requirements analysis,multi-objective formulation,requirements selection,next release
Evolutionary algorithm,Computer science,Requirements analysis,Operations research,Prioritization,Pareto optimal
Conference
Citations 
PageRank 
References 
10
0.67
22
Authors
5
Name
Order
Citations
PageRank
Yuanyuan Zhang160017.33
Enrique Alba23796242.34
Juan J. Durillo374725.47
Sigrid Eldh414117.67
Mark Harman510264389.82