Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/71164

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dc.contributor.authorCanny, Alexandrepor
dc.contributor.authorNavarre, Davidpor
dc.contributor.authorCampos, José C.por
dc.contributor.authorPalanque, Philippepor
dc.date.accessioned2021-03-31T19:00:31Z-
dc.date.available2021-03-31T19:00:31Z-
dc.date.issued2020-
dc.identifier.citationCanny A., Navarre D., Campos J.C., Palanque P. (2020) Model-Based Testing of Post-WIMP Interactions Using Object Oriented Petri-Nets. In: Sekerinski E. et al. (eds) Formal Methods. FM 2019 International Workshops. FM 2019. Lecture Notes in Computer Science, vol 12232. Springer, Cham. https://doi.org/10.1007/978-3-030-54994-7_35por
dc.identifier.isbn978-3-030-54993-0-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/71164-
dc.description.abstractModel-Based Testing (MBT) relies on models of a System Under Test (SUT) to derive test cases for said system. While Finite State Machine (FSM), workflow, etc. are widely used to derive test cases for WIMP applications (i.e. applications depending on 2D widgets such as menus and icons), these notations lack the expressive power to describe the interaction techniques and behaviors found in post-WIMP applications. In this paper, we aim at demonstrating that thanks to ICO, a formal notation for describing interactive systems, it is possible to generate test cases that go beyond the state of the art by addressing the MBT of advanced interaction techniques in post-WIMP applications.por
dc.description.sponsorship- (undefined)por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsopenAccesspor
dc.subjectModel-Based Testingpor
dc.subjectPost-WIMP interactive systemspor
dc.subjectSoftware testingpor
dc.titleModel-based testing of post-wimp interactions using object oriented petri-netspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-54994-7_35por
oaire.citationStartPage486por
oaire.citationEndPage502por
oaire.citationVolume12232 LNCSpor
dc.date.updated2021-03-31T15:51:08Z-
dc.identifier.doi10.1007/978-3-030-54994-7_35por
dc.identifier.eisbn978-3-030-54994-7-
sdum.export.identifier10222-
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
oaire.versionAMpor
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