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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/29089
Title: Mutation operators for UML class diagrams
Authors: Granda Juca, María Fernanda
metadata.dc.ucuenca.correspondencia: Granda, M.F.; Computer Science Department, University of CuencaEcuador; email: fernanda.granda@pros.upv.es
metadata.dc.ucuenca.nombrerevista: 28th International Conference on Advanced Information Systems Engineering CAiSE 2016
Keywords: Class Diagram Mutation
Conceptual Schemas
Mutation Operators
Mutation Testing
Test Cases Quality
Issue Date: 13-Jun-2016
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 9694
metadata.dc.source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
metadata.dc.identifier.doi: 10.1007/978-3-319-39696-5_20
Publisher: SPRINGER VERLAG
metadata.dc.description.city: 
Ljubljana
metadata.dc.type: Article
Abstract: 
Mutation Testing is a well-established technique for assessing the quality of test cases by checking how well they detect faults injected into a software artefact (mutant). Using this technique, the most critical activity is the adequate design of mutation operators so that they reflect typical defects of the artefact under test. This paper presents the design of a set of mutation operators for Conceptual Schemas (CS) based on UML Class Diagrams (CD). In this paper, the operators are defined in accordance with an existing defects classification for UML CS and relevant elements identified from the UML-CD meta-model. The operators are subsequently used to generate first order mutants for a CS under test. Finally, in order to analyse the usefulness of the mutation operators, we measure some basic characteristics of mutation operators with three different CSs under test.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976605241&doi=10.1007%2f978-3-319-39696-5_20&partnerID=40&md5=ed7608d9043acf4bed4c0ca8f8864469
http://dspace.ucuenca.edu.ec/handle/123456789/29089
ISBN: 9783319396958
ISSN: 3029743
Appears in Collections:Artículos

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