Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14766
DC FieldValueLanguage
dc.contributor.authorGregoriades, Andreas-
dc.contributor.authorSutcliffe, Alistair G.-
dc.contributor.otherΓρηγοριάδης, Αντρέας-
dc.date.accessioned2019-07-31T09:59:49Z-
dc.date.available2019-07-31T09:59:49Z-
dc.date.issued2005-05-
dc.identifier.citationIEEE Transactions on Software Engineering, 2005, vol. 31, Issue 5, pp. 392-409en_US
dc.identifier.issn00985589-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/14766-
dc.description.abstractThis paper describes a method and a tool for validating nonfunctional requirements in complex socio-technical systems. The System Requirements Analyzer (SRA) tool validates system reliability and operational performance requirements using scenario-based testing. Scenarios are transformed into sequences of task steps and the reliability of human agents performing tasks with computerized technology is assessed using Bayesian Belief Network (BN) models. The tool tests system performance within an envelope of environmental variations and reports the number of tests that pass a benchmark threshold. The tool diagnoses problematic areas in scenarios representing pathways through system models, assists in the identification of their causes, and supports comparison of alternative requirements specifications and system designs. It is suitable for testing socio-technical systems where operational scenarios are sequential and deterministic, in domains where designs are incrementally modified so set up costs of the BNs can be defrayed over multiple tests.en_US
dc.formatPdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Software Engineeringen_US
dc.rights© IEEEen_US
dc.subjectBayesian belief networksen_US
dc.subjectNonfunctional requirements validationen_US
dc.subjectScenario-based testingen_US
dc.subjectSystems engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectReliability theoryen_US
dc.titleScenario-based assessment of nonfunctional requirementsen_US
dc.typeArticleen_US
dc.collaborationUniversity of Manchester Institute of Science and Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/TSE.2005.59en_US
dc.identifier.scopus2-s2.0-22944481463-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/22944481463-
dc.relation.issue5en_US
dc.relation.volume31en_US
cut.common.academicyear2004-2005en_US
dc.identifier.spage392en_US
dc.identifier.epage409en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.journal.journalissn00985589-
crisitem.journal.publisherIEEE-
crisitem.author.deptDepartment of Communication and Marketing-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-7422-1514-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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