| Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes |
| He, F; Gao, XW; Wang, MF; Wang, BY; Zhang, LJ
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| 2016
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| 发表期刊 | ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
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| ISSN | 1049-331X
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| 卷号 | 25期号:3 |
| 摘要 | Probabilistic models are widely deployed in various systems. To ensure their correctness, verification techniques have been developed to analyze probabilistic systems. We propose the first sound and complete learning-based compositional verification technique for probabilistic safety properties on concurrent systems where each component is an Markov decision process. Different from previous works, weighted assumptions are introduced to attain completeness of our framework. Since weighted assumptions can be implicitly represented by multiterminal binary decision diagrams (MTBDDs),we give an L*-based learning algorithm for MTBDDs to infer weighted assumptions. Experimental results suggest promising outlooks for our compositional technique.; Probabilistic models are widely deployed in various systems. To ensure their correctness, verification techniques have been developed to analyze probabilistic systems. We propose the first sound and complete learning-based compositional verification technique for probabilistic safety properties on concurrent systems where each component is an Markov decision process. Different from previous works, weighted assumptions are introduced to attain completeness of our framework. Since weighted assumptions can be implicitly represented by multiterminal binary decision diagrams (MTBDDs),we give an L*-based learning algorithm for MTBDDs to infer weighted assumptions. Experimental results suggest promising outlooks for our compositional technique. |
| 收录类别 | SCI
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| 关键词 | Compositional Verification
Probabilistic Model Checking
Algorithmic Learning
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| 部门归属 | Tsinghua Univ, MoE, KLiss, Beijing, Peoples R China. Tsinghua Univ, TNList, Beijing, Peoples R China. Tsinghua Univ, Sch Software, Beijing, Peoples R China. Acad Sinica, Taipei, Taiwan. Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing, Peoples R China.
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| 语种 | 英语
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| WOS记录号 | WOS:000382754000002
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| 引用统计 |
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| 内容类型 | 期刊论文
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| URI标识 | http://ir.iscas.ac.cn/handle/311060/17312
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| 专题 | 中国科学院软件研究所
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推荐引用方式
GB/T 7714 |
He, F,Gao, XW,Wang, MF,et al. Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes[J]. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY,2016,25(3).
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| APA |
He, F,Gao, XW,Wang, MF,Wang, BY,&Zhang, LJ.(2016).Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes.ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY,25(3).
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| MLA |
He, F,et al."Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes".ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY 25.3(2016).
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