@inproceedings{b8e7f56acf274717a0645e1895ca14fa,
title = "Immune and evolutionary approaches to software mutation testing",
abstract = "We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to direct the search for new tests. The effectiveness of this algorithm is compared against an elitist Genetic Algorithm, with effectiveness measured by the number of mutant executions needed to achieve a specific mutation score. Results indicate that the Immune Inspired Approach is consistently more effective than the Genetic Algorithm, generating higher mutation scoring test sets in less computational expense.",
keywords = "genetic algorithm, clonal selection, adequacy criterion, clonal selection algorithm, mutation score",
author = "Pete May and Jon Timmis and Keith Mander",
year = "2007",
doi = "10.1007/978-3-540-73922-7\_29",
language = "English",
isbn = "3540739211",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "336--347",
booktitle = "Artificial Immune Systems - 6th International Conference, ICARIS 2007, Proceedings",
address = "Switzerland",
note = "6th International Conference on Artificial Immune Systems, ICARIS 2007 ; Conference date: 26-08-2007 Through 29-08-2007",
}