中文
相关论文

相关论文: Checking modes of HAL programs

200 篇论文

The goal of this paper is the description and analysis of multimethod implementation in a new object-oriented, class-based programming language called OOLANG. The implementation of the multimethod typecheck and selection, deeply analyzed in…

编程语言 · 计算机科学 2009-09-25 Emanuele Panizzi , Bernardo Pastorelli

Type classes are an elegant extension to traditional, Hindley-Milner based typing systems. They are used in modern, typed languages such as Haskell to support controlled overloading of symbols. Haskell 98 supports only single-parameter and…

编程语言 · 计算机科学 2007-05-23 Kevin Glynn , Martin Sulzmann , Peter J. Stuckey

Categorical Message Passing Language (CaMPL) is a functional-style concurrent programming language whose semantics is in category theory, more specifically, linear actegories. Its core programming feature is message passing along typed…

编程语言 · 计算机科学 2026-05-12 Daniel Kiyoshi Hashimoto , Alexanna Little Berg , Priyaa Varshinee Srinivasan

Uncertainty in Logic Programming has been investigated during the last decades, dealing with various extensions of the classical LP paradigm and different applications. Existing proposals rely on different approaches, such as clause…

计算机科学中的逻辑 · 计算机科学 2011-01-17 Mario Rodríguez-Artalejo , Carlos A. Romero-Díaz

Dynamically typed object-oriented languages enable programmers to write elegant, reusable and extensible programs. However, with the current methodology for program verification, the absence of static type information creates significant…

编程语言 · 计算机科学 2015-01-13 Björn Engelmann , Ernst-Rüdiger Olderog , Nils Erik Flick

This paper shows how to apply memoization (caching of subgoals and associated answer substitutions) in a constraint logic programming setting. The research is is motivated by the desire to apply constraint logic programming (CLP) to…

cmp-lg · 计算机科学 2008-02-03 Mark Johnson

We study a type checking algorithm that is able to type check a nontrivial subclass of functional programs that use features such as higher-rank, impredicative and second-order types. The only place the algorithm requires type annotation is…

计算机科学中的逻辑 · 计算机科学 2017-11-15 Peng Fu

Python has become the dominant language for general-purpose programming, yet it lacks robust tools for formal verification. In contrast, programmers working in languages such as C benefit from mature model checkers, for example CBMC, which…

软件工程 · 计算机科学 2025-08-12 Pedro Orvalho , Marta Kwiatkowska

The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality. However, a human-centric large-scale adoption hinges on meeting a variety of multifaceted requirements. To ensure that…

计算与语言 · 计算机科学 2023-12-21 Yi Yang , Qingwen Zhang , Ci Li , Daniel Simões Marta , Nazre Batool , John Folkesson

Recently there has been a great attention from the scientific community towards the use of the model-checking technique as a tool for test generation in the simulation field. This paper aims to provide a useful mean to get more insights…

计算机科学中的逻辑 · 计算机科学 2011-11-14 Margherita Napoli , Mimmo Parente

Providing compact and understandable counterexamples for violated system properties is an essential task in model checking. Existing works on counterexamples for probabilistic systems so far computed either a large set of system runs or a…

软件工程 · 计算机科学 2016-11-26 Ralf Wimmer , Nils Jansen , Erika Ábrahám , Joost-Pieter Katoen

We present a formulation of the problem of probabilistic model checking as one of query evaluation over probabilistic logic programs. To the best of our knowledge, our formulation is the first of its kind, and it covers a rich class of…

计算机科学中的逻辑 · 计算机科学 2012-04-24 Andrey Gorlin , C. R. Ramakrishnan , Scott A. Smolka

Large language models (LLMs) can understand human instructions, showing their potential for pragmatic applications beyond traditional NLP tasks. However, they still struggle with complex instructions, which can be either complex task…

Large Language Models (LLMs) have been widely employed in programming language analysis to enhance human productivity. Yet, their reliability can be compromised by various code distribution shifts, leading to inconsistent outputs. While…

软件工程 · 计算机科学 2024-02-12 Yufei Li , Simin Chen , Yanghong Guo , Wei Yang , Yue Dong , Cong Liu

This paper describes a system, called PLP, for compiling ordered logic programs into standard logic programs under the answer set semantics. In an ordered logic program, rules are named by unique terms, and preferences among rules are given…

人工智能 · 计算机科学 2007-05-23 James P. Delgrande , Torsten Schaub , Hans Tompits

Large language models (LLMs) have shown astonishing capability of generating software code, leading to its use to support developers in programming. Proposed tools have relied either on assistants for improved auto-complete or multi-agents,…

软件工程 · 计算机科学 2026-04-10 Jorge Melegati

Functional logic programming (FLP) languages use non-terminating and non-confluent constructor systems (CS's) as programs in order to define non-strict non-determi-nistic functions. Two semantic alternatives have been usually considered for…

编程语言 · 计算机科学 2020-02-19 Adrián Riesco , Juan Rodríguez-Hortalá

Static type systems are usually not sufficient to express all requirements on function calls. Hence, contracts with pre- and postconditions can be used to express more complex constraints on operations. Contracts can be checked at run time…

编程语言 · 计算机科学 2017-09-15 Michael Hanus

We present a declarative language, PP, for the high-level specification of preferences between possible solutions (or trajectories) of a planning problem. This novel language allows users to elegantly express non-trivial, multi-dimensional…

人工智能 · 计算机科学 2009-09-29 Tran Cao Son , Enrico Pontelli

Large language models (LLMs) can generate executable code from natural language descriptions, but the resulting programs frequently contain bugs due to hallucinations. In the absence of formal specifications, existing approaches attempt to…

软件工程 · 计算机科学 2026-03-31 Yihan Dai , Sijie Liang , Haotian Xu , Peichu Xie , Sergey Mechtaev