dc.creatorGranda Juca, María Fernanda
dc.date2018-01-11T16:47:00Z
dc.date2018-01-11T16:47:00Z
dc.date2017-01-01
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:31:54Z
dc.date.available2018-03-14T20:31:54Z
dc.identifier21954968
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018744085&doi=10.1007%2f978-3-319-52593-8_2&partnerID=40&md5=43ad48c3d8f4edab8c13463f1c6161a4
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/28969
dc.identifier10.1007/978-3-319-52593-8_2
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1135871
dc.descriptionAlthough mutation testing is a well-known technique for assessing the quality of tests, there is not a lot of support available for model-level mutation analysis. It is also considered to be expensive due to: (i) the large number of mutants generated; (ii) the time-consuming activity of determining equivalent mutants; and (iii) the mutant execution time. It should also be remembered that real software artefacts of appropriate size including real faults are hard to find and prepare appropriately. In this paper we propose a mutation tool to generate valid First Order Mutants (FOM) for Conceptual Schemas (CS) based on UML Class Diagrams and evaluate its effectiveness and efficiency in generating valid and non-equivalent mutants. Our main findings were: (1) FOM mutation operators can be automated to avoiding non-valid mutants (49.1%). (2) Fewer equivalent mutants were generated (7.2%) and 74.3% were reduced by analysing the CS static structure in six subject CSs.
dc.languageen_US
dc.publisherSPRINGER HEIDELBERG
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/ec/
dc.sourceinstname:Universidad de Cuenca
dc.sourcereponame:Repositorio Digital de la Universidad de Cuenca
dc.sourceLecture Notes in Information Systems and Organisation
dc.subjectClass diagram mutants
dc.subjectModel-level mutation
dc.subjectMutation tool
dc.subjectTest cases quality
dc.titleA model-level mutation tool to support the assessment of the test case quality
dc.typeArtículos de revistas


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