利用约束角分句进行非终止推理的轻量级方法

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Bishoksan Kafle, Graeme Gange, Peter Schachte, Harald Søndergaard, Peter J. Stuckey
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引用次数: 0

摘要

对于某些软件系统来说,非终止是一种不必要的程序属性,而对于其他系统来说,非终止则是一种安全属性。无论是哪种情况,自动发现非终止的先决条件都很有意义。我们介绍了一种快速轻量级非终止分析器 NtHorn,它能够推导出非终止的非难充分条件。我们以受限 Horn 子句(CHC)为载体,展示了如何利用 CHC 程序转换和抽象解释的成熟技术来进行非终止分析。根据标准竞赛基准套件(由整数操作程序组成)的测量,NtHorn 的有效性与最先进的非终止分析工具相当,而解决问题的速度通常要快一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A lightweight approach to nontermination inference using Constrained Horn Clauses

A lightweight approach to nontermination inference using Constrained Horn Clauses

Nontermination is an unwanted program property for some software systems, and a safety property for other systems. In either case, automated discovery of preconditions for nontermination is of interest. We introduce NtHorn, a fast lightweight nontermination analyser, which is able to deduce non-trivial sufficient conditions for nontermination. Using Constrained Horn Clauses (CHCs) as a vehicle, we show how established techniques for CHC program transformation and abstract interpretation can be exploited for the purpose of nontermination analysis. NtHorn is comparable in effectiveness to the state-of-the-art nontermination analysis tools, as measured on standard competition benchmark suites (consisting of integer manipulating programs), while typically solving problems faster by one order of magnitude.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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