| Title: | OS12-2 Development of a Mutant Generation Tool Using a Genetic Algorithm for Extended Place/Transition Nets |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 517-521 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS12-2 |
| Author(s): | Tomohiko Takagi, Shogo Morimoto |
| Publication Date: | February 2, 2018 |
| Keywords: | Software Testing, Mutation Testing, Model-Based Testing, Mutant Generation |
| Abstract: | In EPN (Extended Place/transition Net)-based mutation testing, mutant EPNs need to be created by inserting intended failures into an original EPN, and we develop a tool using a genetic algorithm to generate better mutant EPNs. In the algorithm, a set of mutant EPNs corresponds to a chromosome, and the fitness of each chromosome is evaluated based on an original EPN weighted by metrics. This paper shows the algorithm, the functions of the tool, and the discussion about its effectiveness. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS12/OS12-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.