Counterexample classification

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Cole Vick, Eunsuk Kang, Stavros Tripakis
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引用次数: 0

Abstract

In model checking, when a model fails to satisfy the desired specification, a typical model checker provides a counterexample that illustrates how the violation occurs. In general, there exist many diverse counterexamples that exhibit distinct violating behaviors, which the user may wish to examine before deciding how to repair the model. Unfortunately, (1) the number of counterexamples may be too large to enumerate one by one, and (2) many of these counterexamples are redundant, in that they describe the same type of violating behavior. In this paper, we propose a technique called counterexample classification. The goal of classification is to cover the space of all counterexamples into a finite set of counterexample classes, each of which describes a distinct type of violating behavior for the given specification. These classes are then presented as a summary of possible violating behaviors in the system, freeing the user from manually having to inspect or analyze numerous counterexamples to extract the same information. We have implemented a prototype of our technique on top of an existing formal modeling and verification tool, the Alloy Analyzer, and evaluated the effectiveness of the technique on case studies involving the well-known Needham–Schroeder and TCP protocols with promising results.

Abstract Image

反例的分类
在模型检查中,当一个模型不能满足期望的规范时,一个典型的模型检查器会提供一个反例来说明违反是如何发生的。一般来说,存在许多不同的反例,它们表现出不同的违反行为,用户可能希望在决定如何修复模型之前检查它们。不幸的是,(1)反例的数量可能太大,无法一一列举,(2)许多反例是多余的,因为它们描述了相同类型的违规行为。在本文中,我们提出了一种称为反例分类的技术。分类的目标是将所有反例的空间覆盖到有限的反例类集合中,每个反例类描述给定规范的不同类型的违反行为。然后将这些类作为系统中可能违反行为的摘要呈现,从而将用户从手动检查或分析大量反例以提取相同信息的过程中解放出来。我们已经在现有的正式建模和验证工具Alloy Analyzer上实现了我们技术的原型,并在涉及著名的Needham-Schroeder和TCP协议的案例研究中评估了该技术的有效性,并取得了令人满意的结果。
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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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