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
Link To Document :
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