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Backend-Frontend Converter: Component-Based Conversion of .NET Computational Models to TypeScript

Petr Ivankov, Shestov Max · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.24492 · cited by 0 works (OpenAlex) · open-access PDF

Russian

Вычислительные модели, разработанные в .NET, часто нуждаются в локальном выполнении в веб-приложениях. Мы представляем Backend--Frontend Converter, архитектуру для генерации имплементаций TypeScript на основе моделей компонентов. Конвертер отображает компоненты, соединения, псевдонимы и формулы до кода TypeScript, специфического для моделей. Библиотеки многоразового исполнения обеспечивают цифровую интеграцию, доступ к данным и обработку состояния. Мы оцениваем сохраненные генерируемые имплементации через четыре орбитальных сценария и записанное сравнение торговых стратегий. Орбитальные расчеты выполняются в браузере и сочетаются с результатами C\# путем пересечения событий и временной отметки; торговые выходы выравниваются по да

Machine translation (Meta M2M100); the English original follows.

Abstract

Computational models developed in .NET often need to run locally within web applications. We present Backend--Frontend Converter, an architecture for generating TypeScript implementations of component-based models. The converter maps components, connections, aliases, and formula trees to model-specific TypeScript code. Reusable runtime libraries provide numerical integration, data access, and state handling. We evaluate stored generated implementations through four orbital scenarios and a recorded trading-strategy comparison. Orbital calculations execute in a browser and are paired with C\# results by crossing event and timestamp; trading outputs are aligned by date. Analytic scheduler tests and deliberately perturbed outputs assess the validation procedure. Each orbital scenario produces 91 paired events with identical timestamps. Position and velocity differences remain below $(10^{-6}\)~km$ and $(10^{-9}\)~km/s$. All 20 analytic scheduler checks pass, and the comparator detects each of three prescribed state and time perturbations. The trading comparison contains 501 aligned daily records with matching indicator values, positions, and order events. The evaluated implementations preserve the compared outputs across the C#/TypeScript boundary. Component-specific generation and reusable execution libraries provide a practical route from supported .NET computational models to TypeScript applications.

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Topics: TypeScript, Computer science, Matching (statistics), Implementation, State (computer science), Programming language

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