• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • РАЗРАБОТКА DSM-ПЛАТФОРМЫ: СРЕДСТВА ТРАНСФОРМАЦИИ МОДЕЛЕЙ ВИДА «МОДЕЛЬ-ТЕКСТ»
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

РАЗРАБОТКА DSM-ПЛАТФОРМЫ: СРЕДСТВА ТРАНСФОРМАЦИИ МОДЕЛЕЙ ВИДА «МОДЕЛЬ-ТЕКСТ»

С. 124–134.
Проскуряков К. А., Lyadova L. N.

The goal of the study is to approval the approach to creating tools for generating code from visual models for a DSM platform based on knowledge and metamodeling. The basis of the solution is a multifaceted ontology, describing languages, designed to solve various tasks of designing and analysing systems, and the domains in which users solve these tasks. Code generation is implemented based on transformation rules that users develop using the constructor. The ontology structure and the transformation module structure, the application user interface and examples of languages and transformation rules representing in the ontology are described.

Language: Russian
Full text
Keywords: метамоделированиепредметно-ориентированные языкиmetamodelingпредметно-ориентированное моделированиеDSM-платформаDSLтрансформация моделейmodel transformationsdomain specific modelingDSLDSM platformcode generationгенерация кодаmultifaceted ontologyмногоаспектная онтологияdomain specific languages

In book

ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции
Таганрог: Издательство ЮФУ, 2023.
Similar publications
JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи
Alexandrov D., Vasilevsky V., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 5 С. 73–90
Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...
Added: October 12, 2026
JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи
Alexandrov D., Vasilevsky V., Rezunik L. et al., В кн.: Труды Института системного программирования РАНТ. 38. Вып. 5.: ИСП РАН, 2026. С. 73–90.
Ограничения при выполнении задач, требующих точного извлечения информации из сверхдлинных последовательностей, приводят к снижению качества генерации и отладки кода крупных объектно-ориентированных систем, характеризующихся сложными межклассовыми зависимостями и необходимостью анализа длинных трассировок выполнения, превышающих размеры стандартных контекстных окон. Предлагается технология JavaCapsule для генерации и отладки Java-кода, реализующая итеративную отладку на основе структурированной обратной связи, включающей результаты ...
Added: September 24, 2026
ML²B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation
Trofimova E., Shamina Z., Selifanova M. et al., , in: Proceedings of the Generative Code Intelligence Workshop (GeCoIn 2026), co-located with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)Vol. 4238.: CEUR-WS.org, 2026.
We introduce ML2B, the first benchmark for evaluating cross-lingual task comprehension in end-to-end ML pipeline generation by large language models. Despite growing global AI adoption, no systematic evaluation exists for ML pipeline generation beyond English task descriptions. ML2B addresses this gap with 35 Kaggle competitions spanning tabular, text, and image domains, translated into 14 languages ...
Added: August 20, 2026
Проектирование инструментов визуализации данных на основе интеграции возможностей предметно-ориентированного моделирования и генеративного искусственного интеллекта
Джейранян А. Д., Ларионова Я. А., Lyadova L. N., В кн.: ГрафиКон 2025 : материалы 35-й Международной конференции по компьютерной графике и машинному зрению (Россия, Йошкар-Ола, 30 сентября – 2 октября 2025 г.).: Йошкар-Ола: Поволжский государственный технологический университет, 2025. С. 353–366.
Abstract. Data visualization tools are key analytics tools that make it easier to identify dependencies, trends, and patterns. These tools are used by a broad range of specialists (analysts, scientists, business leaders, managers, teachers, and specialists in other fields where accurate and understandable presentation of information is critically important to improve the effectiveness of data ...
Added: May 5, 2026
Преодоление ограничений современных инструментов визуализации данных: новая методология
Джейранян А. Д., Lyadova L. N., В кн.: BIG DATA и анализ высокого уровня = BIG DATA and Advanced Analytics: сб. науч. ст. XI Междунар. науч.-практ. конф. (Республика Беларусь, Минск, 23–24 апреля 2025 года).: Мн.: БГУИР, 2025. С. 386–396.
An analysis of existing data visualization methods and tools was conducted, revealing their limitations associated with the need for advanced programming skills or insufficient configuration flexibility. A methodology for developing data visualization tools based on expert knowledge is proposed, enabling the effective creation of customizable visual representations. The methodology comprises three key approaches: (1) the ...
Added: February 21, 2026
Generating and Debugging Java Code using LLMs based on Associative Recurrent Memory
Vasilevsky V., Alexandrov D., Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 5 P. 173–182
Automatic code generation by large language models (LLMs) has achieved significant success, yet it still faces challenges when dealing with complex and large codebases, especially in languages like Java. The limitations of LLM context windows and the complexity of debugging generated code are key obstacles. This paper presents an approach aimed at improving Java code generation and debugging. ...
Added: December 26, 2025
Integrating an Ontology-Driven Approach to Data Visualization and AI Based Visualization with Plotly
A.D. Dzheiranian, L.N. Lyadova, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4 P. 191–206
This study introduces an AI-driven assistant prototype that automates the generation of data visualization scripts from natural language queries, eliminating the need for users to have programming skills. The article examines research aimed at developing tools for effective data visualization, compares data visualization systems based on the use of artificial intelligence, and shows the limitations ...
Added: September 25, 2025
An Approach Based on the Multifaceted Ontology to Development of Event Series Processing Tools
Lyudmila Lyadova, Anton Platunov, Lanin V. et al., , in: Knowledge Discovery, Knowledge Engineering and Knowledge Management: 15th International Joint Conference, IC3K 2023, Rome, Italy, November 13-15, 2023, Revised Selected PapersVol. 2454.: Rome: Springer, 2025. Ch. 11 P. 232–250.
Existing process mining methods based on analysing event logs containing mandatory event attributes allow to investigate processes in different domains. Additional attributes extending mandatory set of values can be presented in various data sources. Domain experts need to analyse dynamics of changing the values of additional attributes to get important information on events and to ...
Added: May 2, 2025
OptIoT: A Domain-Specific Language for Optimizing IoT and IIoT Infrastructure
Ebraheem A., Ivanov I., , in: 2024 International Russian Automation Conference (RusAutoCon).: IEEE, 2024. P. 1012–1016.
Designing reliable Internet of Things systems requires careful planning and consideration of different factors. Incorporating multi-objective optimization methods may help achieve this goal. In this article, a domain-specific language is proposed to aid in describing the structure of the Internet of Things and formulating the requirements and objectives in a simple context. The code is ...
Added: January 9, 2025
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit