Scenario-based black box testing in COSMIC-FFP: A case study

dc.contributor.authorAbu Talib, Manar
dc.contributor.authorOrmandjieva, Olga
dc.contributor.authorAbran, Alain
dc.contributor.authorKhelifi, Adel
dc.contributor.authorBuglione, Luigi
dc.date.accessioned2022-04-13T08:28:34Z
dc.date.accessioned2023-08-19T08:18:26Z
dc.date.available2022-04-13T08:28:34Z
dc.date.available2023-08-19T08:18:26Z
dc.date.issued2006-06
dc.description.abstractThe functional size measurement method, COSMIC-FFP, adopted in 2003 as the ISO/IEC 19761 standard, measures software functionality in terms of the data movements across and within the software boundary. It focuses on the functional user requirements of the software and is applicable throughout the development life cycle, from the requirements phase up to and including the implementation and maintenance phases. This article extends the use of COSMIC-FFP for testing purposes by combining the functions measured by the COSMIC-FFP measurement procedure with a black box testing strategy. Such a testing strategy leverages a COSMIC-FFP advantage, that is, its applicability during the early development phase once the specifications have been documented. This article also investigates the applicability of a functional complexity measure, based on entropy measurement, for assigning priorities to test cases and, ultimately, applying those concepts in a case study.en_US
dc.identifier.citationTalib, M. A., Ormandjieva, O., Abran, A., Khelifi, A., & Buglione, L. (2006). Scenario-based black box testing in COSMIC-FFP: A case study. Software Quality Professional, 8(3), 22.‏en_US
dc.identifier.urihttps://edms.wexl.in/handle/1/3218
dc.language.isoenen_US
dc.publisherAmerican Society for Qualityen_US
dc.subjectScenario-based black-box testingen_US
dc.subjectMeasure software functionalityen_US
dc.subjectData movementen_US
dc.subjectFunctional size measurement methoden_US
dc.titleScenario-based black box testing in COSMIC-FFP: A case studyen_US
dc.title.alternativeJournal articleen_US
dc.typeArticleen_US

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