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Today/future importance analysis

Fulltext:


Authors:

Yuanyuan Zhang , Enrique Alba , Juan J. Durillo , Sigrid Eldh, Mark Harman

Publication Type:

Conference/Workshop Paper

Venue:

Gecco10 - The 12th annual conference on Genetic and evolutionary computation

Publisher:

ACM

DOI:

10.1145/1830483.1830733


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.

Bibtex

@inproceedings{Zhang2235,
author = {Yuanyuan Zhang and Enrique Alba and Juan J. Durillo and Sigrid Eldh and Mark Harman},
title = {Today/future importance analysis},
pages = {1357--1364},
month = {July},
year = {2010},
booktitle = {Gecco10 - The 12th annual conference on Genetic and evolutionary computation },
publisher = {ACM},
url = {http://www.es.mdu.se/publications/2235-}
}