dc.creatorGranda Juca, María Fernanda
dc.date2018-01-11T21:21:55Z
dc.date2018-01-11T21:21:55Z
dc.date2014-08-25
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:32:59Z
dc.date.available2018-03-14T20:32:59Z
dc.identifier9781479963379
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84928105892&doi=10.1109%2fEmpiRE.2014.6890115&partnerID=40&md5=e4756f73f22694b9356a74ffd65742a1
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/21987
dc.identifier10.1109/EmpiRE.2014.6890115
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1136244
dc.descriptionCurrently, in a Model-Driven Engineering environment, it is a difficult and challenging task to fully automate model-driven testing because this demands complete and unambiguous models as input. Although some approaches have been developed to generate test cases from models, they require rigorous assessment of the completeness of the derivation rules. This paper proposes the plan and design of a controlled experiment that analyses a test case generation strategy for the purpose of evaluating its completeness from the viewpoint of those testers who will use a Communication Analysis-based requirements model. We will compare the abstract test cases obtained by applying (i) manual derivation without derivation rules with (ii) manual derivation with transformation rules; and both these strategies against a case of automated generation using transformation rules.
dc.descriptionKarlskrona
dc.languageen_US
dc.publisherINSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
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.source2014 IEEE 4th International Workshop on Empirical Requirements Engineering, EmpiRE 2014 - Proceedings
dc.subjectConceptual Schema Testing
dc.subjectExperimental Design
dc.subjectModel-driven testing
dc.subjectTest Case Validation
dc.subjectTest Cases Generation
dc.subjectTest Model Generation
dc.titleAn experiment design for validating a test case generation strategy from requirements models
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución