arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0912.1900cs.LO
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定量安全:概率系统中基于证明的验证与模型检验的结合

Quantitative Safety: Linking Proof-Based Verification with Model Checking for Probabilistic Systems

Ukachukwu Ndukwu

摘要:

本文提出了一种新的方法,用于增强基于证明的验证与性能风格的分析,在国家的最先进的概率系统的模型检验工具。定量的安全性能通常指定为概率系统不变量,并在证明为基础的环境中建模评估使用有界模型检验技术。我们的具体贡献包括声明的一个定理,是中央的模型检验安全性能的证明为基础的系统,建立一个程序,并在原型系统(YAGA),它很容易转换的概率模型中指定的证明为基础的环境,其等效的可验证的PRISM模型配备奖励结构的充分实施。奖励结构捕获概率不变量的精确解释,并可以在实验研究中揭示有关模型的简洁信息。最后,我们展示了一个概率图书馆的案例研究的技术的新颖性。

英文摘要:

This paper presents a novel approach for augmenting proof-based verification with performance-style analysis of the kind employed in state-of-the-art model checking tools for probabilistic systems. Quantitative safety properties usually specified as probabilistic system invariants and modeled in proof-based environments are evaluated using bounded model checking techniques. Our specific contributions include the statement of a theorem that is central to model checking safety properties of proof-based systems, the establishment of a procedure; and its full implementation in a prototype system (YAGA) which readily transforms a probabilistic model specified in a proof-based environment to its equivalent verifiable PRISM model equipped with reward structures. The reward structures capture the exact interpretation of the probabilistic invariants and can reveal succinct information about the model during experimental investigations. Finally, we demonstrate the novelty of the technique on a probabilistic library case study.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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