中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes

文献类型:期刊论文

作者He, F ; Gao, XW ; Wang, MF ; Wang, BY ; Zhang, LJ
刊名ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
出版日期2016
卷号25期号:3
关键词Compositional verification probabilistic model checking algorithmic learning
ISSN号1049-331X
中文摘要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.
英文摘要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.
收录类别SCI
语种英语
WOS记录号WOS:000382754000002
公开日期2016-12-09
源URL[http://ir.iscas.ac.cn/handle/311060/17312]  
专题软件研究所_软件所图书馆_期刊论文
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).
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).

入库方式: OAI收割

来源:软件研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。