The State Problem for Evolutionary Testing-Reference-Cited by-同舟云学术

The State Problem for Evolutionary Testing

Published:2003 Issue: Volume: Page:2488-2498
ISSN:0302-9743
Container-title:Genetic and Evolutionary Computation — GECCO 2003
language:
Short-container-title:

Author:

McMinn Phil,Holcombe Mike

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45110-2_152

Reference12 articles.

1. Aho A., Sethi R., Ullman J. D.: Compilers: Principles, Techniques and Tools. Addison-Wesley (1986)

2. Bonabeau E., Dorigo M., Theraulaz G.: Swarm Intelligence. Oxford University Press (1999)

3. Bottaci, L.: Instrumenting Programs with Flag Variables for Test Data Search by Genetic Algorithm, Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA (2002)

4. Dorigo M., Maniezzo, V., Colorni A.: Ant System: An Autocatalytic Optimizing Process. Technical report, Politechnico di Milano, Italy, No. 91-016 (1991)

5. Ferguson R., Korel B.: The Chaining Approach for Software Test Data Generation. ACM Transactions on Software Engineering and Methodology, Vol. 5, No. 1, pp. 63–86 (1996)

Cited by 25 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. A systematic literature review on software security testing using metaheuristics;Automated Software Engineering;2024-05-23

2. Evolutionary Approaches to Test Data Generation for Object-Oriented Software;Research Anthology on Agile Software, Software Development, and Testing;2022

3. An Evolutionary Mutation Testing System for Java Programs: eMuJava;Advances in Intelligent Systems and Computing;2019

4. Automated Software Testing;Analytic Methods in Systems and Software Testing;2018-07-06

5. Research on Automatic Generation of Test Cases Based on Genetic Algorithm;Communications in Computer and Information Science;2018