원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.4
2015.04
pp.35-40
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Testing is the one of the crucial phase that is performed during software development. It is done to validate the quality of the software testing using minimal cost, efforts and to generate high quality test cases. It is impossible to test software with all the possible inputs. Hence there is a need to select and reduce test cases that will find as many faults as possible. This paper will describe a method for optimizing software testing Using hybrid meta-heuristics that is by the combination of particle Swarm optimization technique and genetic algorithm, an algorithm has been
목차
Abstract
1. Introduction
2. Genetic Algorithm
3. Particle Swarm Optimization Technique
4. Proposed Algorithm
5. Implementation
6. Conclusion
References
1. Introduction
2. Genetic Algorithm
3. Particle Swarm Optimization Technique
4. Proposed Algorithm
5. Implementation
6. Conclusion
References
키워드
저자정보
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자료제공 : 네이버학술정보