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Model Learning and Model-Based Testing
Graz University of Technology, Graz, Austria.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). (MBT)
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). Department of Informatics, University of Leicester, Leicester, UK. (MBT)ORCID-id: 0000-0002-4869-6794
Graz University of Technology, Graz, Austria.
Vise andre og tillknytning
2018 (engelsk)Inngår i: Machine Learning for Dynamic Software Analysis: Potentials and Limits / [ed] Amel Bennaceur, Reiner Hähnle, Karl Meinke, Heidelberg: Springer, 2018, s. 74-100Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present a survey of the recent research efforts in integrating model learning with model-based testing. We distinguished two strands of work in this domain, namely test-based learning (also called test-based modeling) and learning-based testing. We classify the results in terms of their underlying models, their test purpose and techniques, and their target domains. © Springer International Publishing AG

sted, utgiver, år, opplag, sider
Heidelberg: Springer, 2018. s. 74-100
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11026
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-38437DOI: 10.1007/978-3-319-96562-8_3ISBN: 978-3-319-96561-1 (tryckt)ISBN: 978-3-319-96562-8 (tryckt)OAI: oai:DiVA.org:hh-38437DiVA, id: diva2:1266509
Konferanse
Machine Learning for Dynamic Software Analysis: Potentials and Limits, International Dagstuhl Seminar 16172, Wadern, Germany, April 24-27, 2016
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2018-11-28 Laget: 2018-11-28 Sist oppdatert: 2018-12-11bibliografisk kontrollert

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Mostowski, WojciechMousavi, Mohammad RezaTaromirad, Masoumeh

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