MOŽUCHA, Jakub and Bruno ROSSI. Is Mutation Testing Ready to Be Adopted Industry-Wide?. Online. In Product-Focused Software Process Improvement (PROFES). Cham: Springer International Publishing, 2016, p. 217-232. ISBN 978-3-319-49093-9. Available from: https://dx.doi.org/10.1007/978-3-319-49094-6_14.
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Basic information
Original name Is Mutation Testing Ready to Be Adopted Industry-Wide?
Authors MOŽUCHA, Jakub (703 Slovakia) and Bruno ROSSI (380 Italy, belonging to the institution).
Edition Cham, Product-Focused Software Process Improvement (PROFES), p. 217-232, 16 pp. 2016.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/16:00094093
Organization unit Faculty of Informatics
ISBN 978-3-319-49093-9
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-49094-6_14
Keywords in English Software mutation testing;Experimentation;Equivalent mutants;Selective mutation operators;Cost-reduction strategies
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Bruno Rossi, PhD, učo 232464. Changed: 20/11/2019 09:58.
Abstract
Mutation Testing has a long research history as a way to improve the quality of software tests. However, it has not yet reached wide consensus for industry-wide adoption, mainly due to missing clear benefits and computational complexity for the application to large systems. In this paper, we investigate the current state of mutation testing support for Java Virtual Machine (JVM) environments. By running an experimental evaluation, we found out that while default configurations are unbearable for larger projects, using strategies such as selective operators, second order mutation and multi-threading can increase the applicability of the approach. However, there is a trade-off in terms of quality of the achieved results of the mutation analysis process that needs to be taken into account.
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