Building Reliable Component-Based Software Systems
Building Reliable Component-Based Software Systems
Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)
A strategy for selecting multiple components
Proceedings of the 2005 ACM symposium on Applied computing
Approximating component selection
WSC '04 Proceedings of the 36th conference on Winter simulation
Search Based Approaches to Component Selection and Prioritization for the Next Release Problem
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Only the Best Can Make It: Optimal Component Selection
Electronic Notes in Theoretical Computer Science (ENTCS)
Approximation Algorithms for Software Component Selection Problem
APSEC '07 Proceedings of the 14th Asia-Pacific Software Engineering Conference
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Component selection is a crucial problem in Component Based Software Engineering (CBSE). CBSE is concerned with the assembly of pre-existing software components that leads to a software system that responds to client-specific requirements. We formulate the problem as multiobjective, involving 3 objectives. The approach used in this paper is an evolutionary computation technique combined with a greedy algorithm which is used to fine tune the solutions after the application of the genetic operators. The experiments and comparisons with Greedy technique show the effectiveness of the proposed approach.