A Genetic Algorithm Approach to Focused Software Usage Testing-Reference-Cited by-同舟云学术

A Genetic Algorithm Approach to Focused Software Usage Testing

Published:2003 Issue: Volume: Page:259-286
ISSN:
Container-title:Software Engineering with Computational Intelligence
language:
Short-container-title:

Author:

Patton Robert M.,Wu Annie S.,Walton Gwendolyn H.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4615-0429-0_10.pdf

Reference20 articles.

1. Chambers, L., Ed. (2000), The Practical Handbook of Genetic Algorithms: Applications, Second Edition, Chapman & Hall/CRC.

2. Coello Coello, C.A., D.A.V. Veldhuizen, G.B. Lamont (2002), Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, NY.

3. Coley, D. A. (2001), An Introduction to Genetic Algorithms for Scientists and Engineers, World Scientific, River Edge, NJ.

4. Deb, K. (1999), “Multi-objective genetic algorithms: Problem difficulties and construction of test problems”, Evolutionary Computation Journal, 7,3, 205–230.

5. Dickinson, W., D. Leon, and A. Podgurski (2001), “Pursuing Failure: The Distribution of Program Failures in a Profile Space.” In Proceedings of the 9 th ACM SIGSOFT Symposium on Foundations of Software Engineering, pp. 246–255.

Cited by 9 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. Application of Convolution Neural Networks and Randomforest for Software Test;2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM);2022-08-31

2. Training reinforcement learning models via an adversarial evolutionary algorithm;Workshop Proceedings of the 51st International Conference on Parallel Processing;2022-08-29

3. Genetic-based web regression testing: an ontology-based multi-objective evolutionary framework to auto-regression testing of web applications;Service Oriented Computing and Applications;2021-01-04

4. Computational Intelligence Approaches for Software Quality Improvement;Springer Series in Reliability Engineering;2020

5. Using search-based algorithms for Ajax event sequence generation during testing;Empirical Software Engineering;2010-12-07