Grand challenges in model-driven engineering: an analysis of the state of the research
Autor: | Richard F. Paige, Jordi Cabot, Antonio Bucchiarone, Alfonso Pierantonio |
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Rok vydání: | 2020 |
Předmět: |
Grand challenge
Computer science media_common.quotation_subject 020207 software engineering Research roadmap 02 engineering and technology State of practice Engineering management State (polity) Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Model-driven engineering 020201 artificial intelligence & image processing Model-driven architecture Set (psychology) computer Software Grand Challenges media_common computer.programming_language |
Zdroj: | Software and Systems Modeling. 19:5-13 |
ISSN: | 1619-1374 1619-1366 |
Popis: | In 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of practice, and state of the art in model-driven engineering (MDE). The events brought together experts from industry, academia, and the open-source community to assess what has changed in research in MDE over the last 10 years, what challenges remain, and what new challenges have arisen. This article reports on the results of those meetings, and presents a set of grand challenges that emerged from discussions and synthesis. These challenges could lead to research initiatives for the community going forward. |
Databáze: | OpenAIRE |
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