@inbook{7ee85711ed8843a8bbf2641a2b18d0c0,
title = "Software vaccination: An artificial immune system approach to mutation testing",
abstract = "Over time programming languages develop, paradigms evolve, development teams change. The effect of this is that test suites wear out, therefore these also need to evolve. Mutation testing is an effective fault-based testing approach, but it is computationally expensive. Any evolutionary based approach to this process needs to simultaneously manage execution costs. In this conceptual paper we adopt immune systems as a metaphor for the basis of an alternative mutation testing system. It is envisaged that through monitoring of the development environment, a minimal set of effective mutations and test cases can be developed - a 'vaccine' - that can be applied to the software development process to protect it from errors - from infections.",
keywords = "clonal selection, original program, human immune system, system under test, software development process",
author = "Peter May and Keith Mander and Jon Timmis",
year = "2003",
doi = "10.1007/978-3-540-45192-1_8",
language = "English",
isbn = "3540407669",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "81--92",
editor = "Jon Timmis and Peter Bentley and Emma Hart",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Switzerland",
}
