Company

JetBrains

jetbrains.com
概要記事4リサーチ15

Overview

最終更新: 2026年7月11日

チェコに本社を置く、開発者向けツールのリーディングカンパニー。IntelliJ IDEA、PyCharm、Kotlinなどを提供。Zedと共同でACP（Agent Client Protocol）の策定に参加している。

Mentioned Articles

4 件

Research Papers

5 件
  • Domain-Specific Languages in Practice: with JetBrains MPS
    202117 件引用Semantic Scholar
  • JetBrains MPS: Why Modern Language Workbenches Matter

    Vaclav Pech

    202111 件引用Semantic Scholar
  • JetBrains MPS as Core DSL Technology for Developing Professional Digital Printers

    Eugen Schindler, Hristina Moneva, Joost van Pinxten, L. V. Gool, B. V. D. Meulen, N. Stotz, B. Theelen

    20215 件引用Semantic Scholar
  • ViMoTest: a low code approach to specify ViewModel-based tests with a projectional DSL using JetBrains MPS

    Mario Fuksa

    20224 件引用Semantic Scholar
  • AdaptiveSystems: An Integrated Framework for Adaptive Systems Design and Development Using MPS JetBrains Domain-Specific Modeling Environment

    S. Meacham, Vaclav Pech, D. Nauck

    20214 件引用Semantic Scholar

    This paper contains the design and development of an adaptive systems (AdaptiveSystems Domain-Specific Language - DSL) framework to assist language developers and data scientists in their attempt to apply Artificial Intelligence (AI) algorithms in several application domains. Big-data processing and AI algorithms are at the heart of autonomics research groups among industry and academia. Major advances in the field have traditionally focused on algorithmic research and increasing the performance of the developed algorithms. However, it has been recently recognized by the AI community that the applicability of these algorithms and their consideration in context is of paramount importance for their adoption. Current approaches to address AI in context lie in two areas: adaptive systems research that mainly focuses on implementing adaptivity mechanisms (technical perspective) and AI in context research that focuses on business aspects (business perspective). There is currently no approach that combines all aspects required from business considerations to an appropriate level of abstraction. In this paper, we attempt to address the problem of designing adaptive systems and therefore providing AI in context by utilising DSL technology. We propose a new DSL (AdaptiveSystems) and a methodology to apply this to the creation of a DSL for specific application domains such as AdaptiveVLE (Adaptive Virtual Learning Environment) DSL. The language developer will be able to instantiate the AdaptiveSystems DSL to any application domain by using the guidelines in this paper with an integrated path from design to implementation. The domain expert will then be able to use the developed DSL (e.g. AdaptiveVLE DSL) to design and develop their application. Future work will include extension and experimentation of the applicability of this work to more application domains within British Telecom (BT) and other areas such as health care, finance, etc.

External Mentions

10 件