| 1 | Kamel Ayari and Salah Bouktif and Giuliano Antoniol
Automatic Mutation Test Input Data Generation via Ant Colony
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'07)London, England, 7-11 July 2007. |
|
| | Abstract: Fault-based testing is often advocated to overcome limitations ofother testing approaches; however it is also recognized as beingexpensive. On the other hand, evolutionary algorithms have beenproved suitable for reducing the cost of data generation in the contextof coverage based testing. In this paper, we propose a newevolutionary approach based on ant colony optimization for automatictest input data generation in the context of mutation testingto reduce the cost of such a test strategy. In our approach the antcolony optimization algorithm is enhanced by a probability densityestimation technique. We compare our proposal with otherevolutionary algorithms, e.g., Genetic Algorithm. Our preliminaryresults on JAVA testbeds show that our approach performed significantlybetter than other alternatives. |
| | @INPROCEEDINGS{AyariBA07,
author = {Kamel Ayari and Salah Bouktif and Giuliano Antoniol},
title = {Automatic Mutation Test Input Data Generation via Ant Colony},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'07)},
year = {2007},
address = {London, England},
month = {7-11 July},
pages = {1074-1081}
} |
| 2 | Kamel Ayari and Salah Bouktif and Giuliano Antoniol
Automatic mutation test input data generation via ant colony
Genetic and Evolutionary Computation Conference, {GECCO} 2007, Proceedings, London, England, UK, July 7-11, 2007, 2007. |
|
| | Abstract: Available soon... |
| | @INPROCEEDINGS{AyariBA07,
author = {Kamel Ayari and Salah Bouktif and Giuliano Antoniol},
title = {Automatic mutation test input data generation via ant colony},
booktitle = {Genetic and Evolutionary Computation Conference, {GECCO} 2007, Proceedings, London, England, UK, July 7-11, 2007},
year = {2007},
address = {},
month = {},
pages = {1074--1081}
} |
