Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin Weyssow"'
Publikováno v:
Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results.
The progress made in code modeling has been tremendous in recent years thanks to the design of natural language processing learning approaches based on state-of-the-art model architectures. Nevertheless, we believe that the current state-of-the-art d
The objective of pre-trained language models is to learn contextual representations of textual data. Pre-trained language models have become mainstream in natural language processing and code modeling. Using probes, a technique to study the linguisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b413dd22557bbf3eafd80eef9c8eba
The design of conceptually sound metamodels that embody proper semantics in relation to the application domain is particularly tedious in Model-Driven Engineering. As metamodels define complex relationships between domain concepts, it is crucial for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f314c8567fa80131a916418e4fd62336
http://arxiv.org/abs/2104.01642
http://arxiv.org/abs/2104.01642
Autor:
Gregor Engels, Jörg Kienzle, Martin Weyssow, Nelly Bencomo, Gunter Mussbacher, Thomas Kühn, Benoit Combemale, Silvia Abrahão, Houari Sahraoui, Loli Burgueño, Sébastien Mosser
Publikováno v:
MDE Intelligence 2020-2nd Workshop on Artificial Intelligence and Model-driven Engineering
MDE Intelligence 2020-2nd Workshop on Artificial Intelligence and Model-driven Engineering, Oct 2020, Montreal, Canada. pp.1-10
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
MODELS Companion
MDE Intelligence 2020-2nd Workshop on Artificial Intelligence and Model-driven Engineering, Oct 2020, Montreal, Canada. pp.1-10
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
MODELS Companion
International audience; The ever-growing complexity of systems, the growing number of stakeholders, and the corresponding continuous emergence of new domain-specific modeling abstractions has led to significantly higher cognitive load on modelers. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d7fac8645dee4d86fc066ef59d1acb
https://inria.hal.science/hal-02925142
https://inria.hal.science/hal-02925142
Autor:
Nelly Bencomo, Hyacinth Ali, Gregor Engels, Martin Weyssow, Silvia Abrahão, Houari Sahraoui, Eugene Syriani, Benoit Combemale, Pierre Jeanjean, Márton Búr, Jörg Kienzle, Jean-Marc Jézéquel, Thomas Kühn, Loli Burgueño, Gunter Mussbacher, Sébastien Mosser, Dániel Varró
Publikováno v:
Software and Systems Modeling
Software and Systems Modeling, 2020, 19 (5), pp.1045-1053. ⟨10.1007/s10270-020-00814-5⟩
Software and Systems Modeling, Springer Verlag, 2020, 19 (5), pp.1045-1053. ⟨10.1007/s10270-020-00814-5⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Software and Systems Modeling, 2020, 19 (5), pp.1045-1053. ⟨10.1007/s10270-020-00814-5⟩
Software and Systems Modeling, Springer Verlag, 2020, 19 (5), pp.1045-1053. ⟨10.1007/s10270-020-00814-5⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] Modeling is requiring increasingly larger efforts while becoming indispensable given the complexity of the problems we are solving. Modelers face high cognitive load to understand a multitude of complex abstractions and their relationships. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12fca515d61cd25f4822801f378ef680
https://inria.hal.science/hal-02876536/document
https://inria.hal.science/hal-02876536/document