Paper Info
Title
Designing And Reporting On Computational Experiments Of Multi-Objective Component Selection Algorithm
Abstract
One important issue of component-based software development is the minimization of the development cost and the maximization of the system reliability while satisfying functional requirements. There are numerous publications on this issue based on metaheuristic techniques, but there are two deficiencies: too tough to evaluate the performance of algorithms and fix parameters in the real-world application. To address this problem, a three phased algorithm is proposed by the Wu et al. [International Journal of Information Technology & Decision Making 5 (2011) 811-841]. This paper describes computational experience in solving the problems using the metaheuristics and the proposed algorithm. The results indicate the efficiency of the proposed algorithms in terms of overall nondominated vector generation, well converged set of solutions, and diversity of solutions. Computational results and simulation analysis further assist a decision maker to fix optimal parameters of metaheuristics including the number of iteration, crossover rate, and mutation rate, and explore hints in using metaheuristics for the problem.
Year
DOI
Venue
2015
10.1142/S0219622015500066
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
Keywords
Field
DocType
Component-based software engineering, multi-objective, computational experiments
Functional requirement,Data mining,Computer science,Minification,Artificial intelligence,Software development,Metaheuristic,Mathematical optimization,Information technology,Selection algorithm,Component-based software engineering,Machine learning,Maximization
Journal
Volume
Issue
ISSN
14
2
0219-6220
Citations 
PageRank 
References 
0
0.34
34
Authors
2
Name
Order
Citations
PageRank
Zhiqiao Wu170.76
Jiafu Tang254149.29