Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation-Reference-Cited by-同舟云学术

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Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation

Published:2017-05 Issue:2 Volume:12 Page:46-55
ISSN:1556-603X
Container-title:IEEE Computational Intelligence Magazine
language:
Short-container-title:IEEE Comput. Intell. Mag.

Author:

Huang Han,Liu Fangqing,Zhuo Xiaoyan,Hao Zhifeng

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Theoretical Computer Science

Link

http://xplorestaging.ieee.org/ielx7/10207/7895275/07895316.pdf?arnumber=7895316

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Enhancing Fault Detection in Smart Contract Loops Through Adaptive Probabilistic Sampling;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

3. Automated test case generation for path coverage using Hierarchical Surrogate-Assisted Differential Evolution;Applied Soft Computing;2024-06

4. Automated Test Case Generation Based on Path Structure Matrix and Mainfold-Inspired Search;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

5. Multi-task modeling and multifactorial optimization for path coverage problem of automated test case generation;Applied Soft Computing;2024-03

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