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Execution of UML models: a systematic review of research and practice
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-0401-1036
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Malina Software Corporation, Ottawa, Canada.
2019 (Engelska)Ingår i: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. -3, nr -, s. 2313-2360Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Several research efforts from different areas have focused on the execution of UML models, resulting in a diverse and complex scientific body of knowledge. With this work, we aim at identifying, classifying, and evaluating existing solutions for the execution of UML models. We conducted a systematic review in which we selected 63 research studies and 19 tools among over 5400 entries by applying a systematic search and selection process. We defined a classification framework for characterizing solutions for UML model execution, and we applied it to the 82 selected entries. Finally, we analyzed and discussed the obtained data. From the analyzed data, we drew the following conclusions: (i) There is a growing scientific interest on UML model execution; (ii) solutions providing translational execution clearly outnumber interpretive solutions; (iii) model-level debugging is supported in very few cases; (iv) only a few research studies provide evidence of industrial use, with very limited empirical evaluations; (v) the most common limitation deals with coverage of the UML language. Based on these observations, we discuss potential research challenges and implications for the future of UML model execution. Our results provide a concise overview of states of the art and practice for UML model execution intended for use by both researchers and practitioners.

Ort, förlag, år, upplaga, sidor
2019. Vol. -3, nr -, s. 2313-2360
Nyckelord [en]
systematic review, uml, model execution
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Datorsystem
Identifikatorer
URN: urn:nbn:se:mdh:diva-38967DOI: 10.1007/s10270-018-0675-4ISI: 000468996100033Scopus ID: 2-s2.0-85045137014OAI: oai:DiVA.org:mdh-38967DiVA, id: diva2:1196490
Projekt
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applicationsTillgänglig från: 2018-04-10 Skapad: 2018-04-10 Senast uppdaterad: 2019-06-18Bibliografiskt granskad

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Totalt: 32 träffar
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