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Developing software for scientific applications that require the integration of diverse types of computing, instruments, and data present challenges that are distinct from commercial software. These applications require scale, and the need…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-27 Andre Luckow , Shantenu Jha

In stepwise derivations of programs from specifications, data type refinements are common. Many data type refinements involve isomorphic mappings between the more abstract and more concrete data representations. Examples include refinement…

Logic in Computer Science · Computer Science 2020-09-30 Alessandro Coglio , Stephen Westfold

The component approach aims for the reuse by a coherent and easy components assembly. But obtaining a coherent components assembly is not an easy exercise. To achieve this, we advocate a contractual approach distinguishing different…

Software Engineering · Computer Science 2012-08-01 Mourad Kmimech

We describe an architecture for spoken dialogue interfaces to semi-autonomous systems that transforms speech signals through successive representations of linguistic, dialogue, and domain knowledge. Each step produces an output, and a…

Computation and Language · Computer Science 2007-05-23 Manny Rayner , Beth Ann Hockey , Frankie James

Generating code from a natural language using Large Language Models (LLMs) such as ChatGPT, seems groundbreaking. Yet, with more extensive use, it's evident that this approach has its own limitations. The inherent ambiguity of natural…

Software Engineering · Computer Science 2023-10-09 Ahmed R. Sadik , Sebastian Brulin , Markus Olhofer

We propose a variant of Alternating-time Temporal Logic (ATL) grounded in the agents' operational know-how, as defined by their libraries of abstract plans. Inspired by ATLES, a variant itself of ATL, it is possible in our logic to…

Artificial Intelligence · Computer Science 2016-07-05 Nitin Yadav , Sebastian Sardina

Modeling and analysis of nonfunctional requirements is crucial in automotive systems. EAST-ADL is an architectural language dedicated to safety-critical automotive system design. We have previously modified EAST-ADL to include energy…

Software Engineering · Computer Science 2018-03-20 Eun-Young Kang , Li Huang , Dongrui Mu

Control was from its very beginning an important concept in cybernetics. Later on, with the works of W. Ross Ashby, for example, biological concepts such as adaptation were interpreted in the light of cybernetic systems theory. Adaptation…

Neural and Evolutionary Computing · Computer Science 2021-09-28 Olivier Del Fabbro , Patrik Christen

Software Architecture Descriptions (SADs) are essential for managing the inherent complexity of modern software systems. They enable high-level architectural reasoning, guide design decisions, and facilitate effective communication among…

Software Engineering · Computer Science 2026-02-10 Ahmad Hatahet , Christoph Knieke , Andreas Rausch

We explore different ways of implementing temporal constraints expressed in an extension of Answer Set Programming (ASP) with language constructs from dynamic logic. Foremost, we investigate how automata can be used for enforcing such…

Artificial Intelligence · Computer Science 2021-09-07 Pedro Cabalar , Martín Diéguez , Susana Hahn , Torsten Schaub

We present Alias Refinement Types (ART), a new approach to the verification of correctness properties of linked data structures. While there are many techniques for checking that a heap-manipulating program adheres to its specification,…

Programming Languages · Computer Science 2015-11-03 Alexander Bakst , Ranjit Jhala

Inferring inductive invariants is one of the main challenges of formal verification. The theory of abstract interpretation provides a rich framework to devise invariant inference algorithms. One of the latest breakthroughs in invariant…

Programming Languages · Computer Science 2022-01-19 Yotam M. Y. Feldman , Mooly Sagiv , Sharon Shoham , James R. Wilcox

Public research results on large-scale supervised finetuning of AI agents remain relatively rare, since the collection of agent training data presents unique challenges. In this work, we argue that the bottleneck is not a lack of underlying…

The main focus of Hierarchical Reinforcement Learning (HRL) is studying how large Markov Decision Processes (MDPs) can be more efficiently solved when addressed in a modular way, by combining partial solutions computed for smaller subtasks.…

Machine Learning · Computer Science 2025-12-05 Roberto Cipollone , Luca Iocchi , Matteo Leonetti

Architectural modeling is an integral part of modern software development. In particular, diverse systems benefit from precise architectural models since similar components can often be reused between different system variants. However,…

Software Engineering · Computer Science 2014-09-09 Arne Haber , Holger Rendel , Bernhard Rumpe , Ina Schaefer

Analysis of Markov Decision Processes (MDP) is often hindered by state space explosion. Abstraction is a well-established technique in model checking to mitigate this issue. This paper presents a novel lazy abstraction method for MDP…

Logic in Computer Science · Computer Science 2024-06-04 Dániel Szekeres , Kristóf Marussy , István Majzik

Architectural Decision Records (ADRs) play a central role in maintaining software architecture quality, yet many decision violations go unnoticed because projects lack both systematic documentation and automated detection mechanisms. Recent…

Software Engineering · Computer Science 2026-02-10 Ruoyu Su , Alexander Bakhtin , Noman Ahmad , Matteo Esposito , Valentina Lenarduzzi , Davide Taibi

This paper proposes a model of execution platform for the OMG request of a generic PlatformIndependent-Model (PIM) allowing realization of the Model Driven Architecture (MDA) standard. We propose AMDA (Automata based MDA), a method based on…

Software Engineering · Computer Science 2020-08-04 David Dayan , Rivka Kaplinsky , Aryeh Wiesen , Simon Bloch

A symmetry of a dynamical system is a map that transforms one trajectory to another trajectory. We introduce a new type of abstraction for hybrid automata based on symmetries. The abstraction combines different modes in a concrete automaton…

Systems and Control · Electrical Eng. & Systems 2020-06-18 Hussein Sibai , Sayan Mitra

Architectural Knowledge Management (AKM) is crucial for software development but remains challenging due to the lack of standardization and high manual effort. Architecture Decision Records (ADRs) provide a structured approach to capture…

Software Engineering · Computer Science 2025-04-14 Rudra Dhar , Adyansh Kakran , Amey Karan , Karthik Vaidhyanathan , Vasudeva Varma
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