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Lessons Learned from an Application of Ontologies in Software Testing
Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-6671-6157
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
2019 (English)In: CEUR Workshop Proceedings / [ed] Adrien Barton, Selja Seppälä, Daniele Porello, et.al., CEUR-WS , 2019, Vol. 2518Conference paper, Published paper (Refereed)
Abstract [en]

Testing of a software system is a resource-consuming activity that requires high-level expert knowledge. In previous work we proposed an ontologybased approach to alleviate this problem. In this paper we discuss the lessons learned from the implementation and application of the approach in a use case from the avionic industry. The lessons are related to the areas of ontology development, ontology evaluation, the OWL language and rule-based reasoning.

Place, publisher, year, edition, pages
CEUR-WS , 2019. Vol. 2518
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
Keywords [en]
application of ontologies, OWL, Prolog, lesson learned, test case generation, automated testing
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:hj:diva-47361OAI: oai:DiVA.org:hj-47361DiVA, id: diva2:1385139
Conference
JOWO 2019, The Joint Ontology Workshops, Graz, Austria, September 23-25, 2019.
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-14Bibliographically approved

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