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| Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes | |
| He, F; Gao, XW; Wang, MF; Wang, BY; Zhang, LJ | |
| 2016 | |
| Source | ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
 |
| ISSN | 1049-331X |
| Volume | 25Issue:3 |
| English Abstract | 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. |
| Indexed Type | SCI |
| Keyword | Compositional Verification Probabilistic Model Checking Algorithmic Learning |
| Department | 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. |
| Language | 英语 |
| WOS ID | WOS:000382754000002 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/17312 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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). |
| 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). |
| 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). |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| a21-he.pdf（1154KB） | 开放获取 | License | Application Full Text | |||
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