Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rijul Saini"'
Publikováno v:
Software and Systems Modeling. 21:1015-1045
Autor:
Rijul Saini
Publikováno v:
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings.
Publikováno v:
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems.
Autor:
Najmuddin Fakhruddin, Rijul Saini
Inspired by recent work of Farb, Kisin and Wolfson, we develop a method for using actions of finite group schemes over a mixed characteristic dvr $\mathbb{R}$ to get lower bounds for the essential dimension of a cover of a variety over $K = \mathrm{F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8b749bfae3cbbc7c44b08e67227ccca
Autor:
Rijul Saini, Gunter Mussbacher
Publikováno v:
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C).
Publikováno v:
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C).
Publikováno v:
RE
Domain modelling abstracts real-world entities and their relationships in the form of class diagrams for a given domain problem space. Modellers often perform domain modelling to reduce the gap between understanding the problem description which expr
Publikováno v:
RE
In the initial phases of the software development cycle, domain modelling is typically performed to transform informal requirements expressed in natural language into concise and analyzable domain models. These models capture the key concepts of an a
Autor:
Mojtaba Bagherzadeh, Jordi Cabot, Jörg Kienzle, Betty H. C. Cheng, Gunter Mussbacher, Manuel Wimmer, Rijul Saini, Ralf Reussner, Benoit Combemale, Benjamin Benni, Daniel Amyot, Robert Heinrich, Edouard Batot, Gregor Engels, Jean-Michel Bruel, Nelly Bencomo, Houari Sahraoui, June Sallou, Hyacinth Ali, Jean-Marc Jézéquel, Anne Koziolek, Eugene Syriani, Philippe Collet, Sébastien Mosser, Serge Stinckwich
Publikováno v:
IEEE Software
IEEE Software, 2021, 38 (4), ⟨10.1109/MS.2020.2995125⟩
IEEE Software, Institute of Electrical and Electronics Engineers, 2021, 38 (4), ⟨10.1109/MS.2020.2995125⟩
IEEE software, 38 (4), 71–84
IEEE Software, Institute of Electrical and Electronics Engineers, 2020, pp.9. ⟨10.1109/MS.2020.2995125⟩
IEEE Software, 2021, 38 (4), ⟨10.1109/MS.2020.2995125⟩
IEEE Software, Institute of Electrical and Electronics Engineers, 2021, 38 (4), ⟨10.1109/MS.2020.2995125⟩
IEEE software, 38 (4), 71–84
IEEE Software, Institute of Electrical and Electronics Engineers, 2020, pp.9. ⟨10.1109/MS.2020.2995125⟩
The models and data framework demystifies the different roles that models and data play in software development and operation and clarifies where machine learning and artificial intelligence techniques could be used.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9c10b13f2b0dc7454faf6022677383c
https://inria.hal.science/hal-02612087/document
https://inria.hal.science/hal-02612087/document
Publikováno v:
MODELS Companion
Domain modelling transforms domain problem descriptions written in natural language (NL) into analyzable and concise domain models (class diagrams) during requirements analysis or the early stages of design in software development. Since the practice