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GECCO
2010
Springer

Today/future importance analysis

9 years 2 months ago
Today/future importance analysis
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. Categories and Subject Descriptors D.2.1 [SOFTWARE ENGINEERING]: Requirements/ Specifications--Methodologies General Terms Algorithms, Measurement, Performance, Experimentation. Keywords Pareto opt...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2010
Where GECCO
Authors Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sigrid Eldh, Mark Harman
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