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Model Learning and Model-Based Testing
Graz University of Technology, Graz, Austria.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). (MBT)
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Department of Informatics, University of Leicester, Leicester, UK. (MBT)ORCID iD: 0000-0002-4869-6794
Graz University of Technology, Graz, Austria.
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2018 (English)In: Machine Learning for Dynamic Software Analysis: Potentials and Limits / [ed] Amel Bennaceur, Reiner Hähnle, Karl Meinke, Heidelberg: Springer, 2018, p. 74-100Conference paper, Published paper (Refereed)
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

Place, publisher, year, edition, pages
Heidelberg: Springer, 2018. p. 74-100
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11026
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-38437DOI: 10.1007/978-3-319-96562-8_3ISBN: 978-3-319-96561-1 (print)ISBN: 978-3-319-96562-8 (print)OAI: oai:DiVA.org:hh-38437DiVA, id: diva2:1266509
Conference
Machine Learning for Dynamic Software Analysis: Potentials and Limits, International Dagstuhl Seminar 16172, Wadern, Germany, April 24-27, 2016
Funder
Knowledge FoundationAvailable from: 2018-11-28 Created: 2018-11-28 Last updated: 2018-12-11Bibliographically approved

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Mostowski, WojciechMousavi, Mohammad RezaTaromirad, Masoumeh

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Mostowski, WojciechMousavi, Mohammad RezaTaromirad, Masoumeh
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Centre for Research on Embedded Systems (CERES)Halmstad Embedded and Intelligent Systems Research (EIS)
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