DocumentCode
3085060
Title
A Metrics-Based Evolutionary Approach for the Component Selection Problem
Author
Vescan, Andreea
Author_Institution
Fac. of Math. & Comput. Sci., Babes-Bolyai Univ., Cluj-Napoca
fYear
2009
fDate
25-27 March 2009
Firstpage
83
Lastpage
88
Abstract
Component-Based Software Engineering is concerned with the assembly of pre-existing software components that leads to software systems that respond to client specific requirements. Component selection and component systems assembly have become two of the key issues involved in this process. There may be different alternative components that can be selected (to obtain a configuration), each coming at their own set of offered requirements. Our goal is to select the best existing component alternatives. In order to attain this goal, the evaluation of the components is a necessity. As a result in this direction, software metrics are very useful being a mean to quantify those attributes considered important for the system that will built. We formulate the problem as multiobjective, considering different metrics values. The approach is an evolutionary computation technique. The experiments and comparisons (considering different criteria and various number of individuals and iterations) shows the importance of multicriteria-based solution.
Keywords
evolutionary computation; object-oriented programming; software metrics; client specific requirements; component selection problem; component systems assembly; component-based software engineering; evolutionary computation; metrics based evolutionary approach; software components; software metrics; Assembly systems; Computational modeling; Costs; Equations; Evolutionary computation; Mathematical model; Software engineering; Software metrics; Software systems; Strontium; Component selection; evolutionary algorithms.; metrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-3771-9
Electronic_ISBN
978-0-7695-3593-7
Type
conf
DOI
10.1109/UKSIM.2009.32
Filename
4809742
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