DC Field | Value | Language |
dc.contributor.author | Dorodnykh, N. O. | - |
dc.contributor.author | Yurin, A. Yu. | - |
dc.contributor.author | Pavlov, N. Yu. | - |
dc.contributor.author | Korshunov, S. A. | - |
dc.contributor.author | Sopp, D. Yu. | - |
dc.date.accessioned | 2018-03-06T09:06:06Z | - |
dc.date.available | 2018-03-06T09:06:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Model transformations for intelligent systems engineering / N. O. Dorodnykh and others // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 77 - 80. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/30350 | - |
dc.description.abstract | The paper discusses the application of model trans-
formations in the process of intelligent systems engineering.
The model-driven approach is used as a basic methodology
and the own its implementation is proposed. The conceptual
models presented in XML-like formats are used as the initial
data. Particular attention is paid to the first stage in the chain
of model transformations: the stage of the formation of a
computation-independent model. A new domain-specific language
– Transformation Model Representation Language (TMRL) and
special tools are used for implementing model transformations.
The description of the main TMRL constructions and an example
of its application are presented. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | model transformation | ru_RU |
dc.subject | code generation | ru_RU |
dc.subject | intelligent system | ru_RU |
dc.subject | knowledge base | ru_RU |
dc.subject | domain-specific language | ru_RU |
dc.title | Model transformations for intelligent systems engineering | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | OSTIS-2018
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