A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection-Reference-Cited by-同舟云学术

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A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection

Published:2014-10 Issue: Volume: Page:
ISSN:
Container-title:2014 Brazilian Conference on Intelligent Systems
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Author:

Souza Luciano S. de,Prudencio Ricardo B.C.,Barros Flavia de A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6979382/6984785/06984866.pdf?arnumber=6984866

Cited by 18 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

1. Multi-objective test selection of smart contract and blockchain applications;PeerJ Computer Science;2023-10-17

2. Guided Intelligent Hyper-Heuristic Algorithm for Critical Software Application Testing Satisfying Multiple Coverage Criteria;Journal of Circuits, Systems and Computers;2023-08-02

3. An Efficient Regression Test Cases Selection & Optimization Using Mayfly Optimization Algorithm;Springer Series in Reliability Engineering;2022-09-09

4. A novel chaotic archimedes optimization algorithm and its application for efficient selection of regression test cases;International Journal of Information Technology;2022-07-25

5. Test Suite Prioritization Based on Optimization Approach Using Reinforcement Learning;Applied Sciences;2022-07-04

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