earticle

논문검색

Automatic Generation of Test Cases Based On Multi-population Genetic Algorithm

목차

Abstract
 1. Introduction
 2. Data Flow Test Cverage Criteria
 3. Multi-Population Parallel Genetic Algorithm
  3.1 The Design of Multi-Population Model
  3.2 The Design of Fitness Function
  3.3 IPEA Implementation of the Algorithm
 4. The Experimental Simulation and Algorithm Evaluation
 5. Conclusion
 Acknowledgments
 References

저자정보

  • Na Zhang Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou
  • Biao Wu Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou
  • Xiaoan Bao Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou, Zhejiang Sci-Tech University, Hangzhou

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.