Research Article
Multi-objective Optimization for Object-oriented Testing Using Stage-Based Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-642-35615-5_37, author={P. Maragathavalli and S. Kanmani}, title={Multi-objective Optimization for Object-oriented Testing Using Stage-Based Genetic Algorithm}, proceedings={Third International conference on advances in communication, network and computing}, proceedings_a={CNC}, year={2012}, month={12}, keywords={multi-objective optimization test-suite minimization stage-based path coverage execution time}, doi={10.1007/978-3-642-35615-5_37} }- P. Maragathavalli
S. Kanmani
Year: 2012
Multi-objective Optimization for Object-oriented Testing Using Stage-Based Genetic Algorithm
CNC
Springer
DOI: 10.1007/978-3-642-35615-5_37
Abstract
A multi-objective optimization involves optimizing a number of objectives simultaneously. The Multi-Objective Optimization Problem has a set of solutions, each of which satisfies the objectives at an acceptable level. An optimization algorithm named SBGA (stage-based genetic algorithm), with new GA operators is attempted. The multiple objectives considered for optimization are maximum path coverage with minimum execution time and test-suite minimization. The coverage and the no. of test cases generated using SBGA are experimented with simple object-oriented programs. The data flow testing of OOPs in terms of path coverage are resulted with almost 88%. Thus, the efficiency of generated testcases has been improved in terms of path coverage with minimum execution time.
