Ant colony optimization for software engineers-Reference-Cited by-同舟云学术

Ant colony optimization for software engineers

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Gavidia-Calderon Carlos¹,Menéndez Héctor D.²

Affiliation:

1. The Open University

2. King's College London

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3533644

Reference19 articles.

1. Adapting ant colony optimization to generate test data for software structural testing

2. [B] Socha , K. , & Dorigo , M. ( 2008 ). Ant colony optimization for continuous domains. European journal of operational research, 185(3), 1155--1173 . [B] Socha, K., & Dorigo, M. (2008). Ant colony optimization for continuous domains. European journal of operational research, 185(3), 1155--1173.

3. [C] Dorigo , M. , Birattari , M. , & Stutzle , T. ( 2006 ). Ant colony optimization . IEEE computational intelligence magazine, 1(4), 28--39. [C] Dorigo, M., Birattari, M., & Stutzle, T. (2006). Ant colony optimization. IEEE computational intelligence magazine, 1(4), 28--39.

4. A uniform random test data generator for path testing

5. [E] Bruce , D. , Menéndez , H. D. , & Clark , D. ( 2019 , August). Dorylus: An ant colony based tool for automated test case generation . In International Symposium on Search Based Software Engineering (pp. 171--180) . Springer, Cham. [E] Bruce, D., Menéndez, H. D., & Clark, D. (2019, August). Dorylus: An ant colony based tool for automated test case generation. In International Symposium on Search Based Software Engineering (pp. 171--180). Springer, Cham.