Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-24559-6_9
Title: Verification of orchestration systems using compositional partial order reduction
Authors: Tan, T.H.
Liu, Y. 
Sun, J.
Dong, J.S. 
Issue Date: 2011
Source: Tan, T.H.,Liu, Y.,Sun, J.,Dong, J.S. (2011). Verification of orchestration systems using compositional partial order reduction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6991 LNCS : 98-114. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-24559-6_9
Abstract: Orc is a computation orchestration language which is designed to specify computational services, such as distributed communication and data manipulation, in a concise and elegant way. Four concurrency primitives allow programmers to orchestrate site calls to achieve a goal, while managing timeouts, priorities, and failures. To guarantee the correctness of Orc model, effective verification support is desirable. Orc has a highly concurrent semantics which introduces the problem of state-explosion to search-based verification methods like model checking. In this paper, we present a new method, called Compositional Partial Order Reduction (CPOR), which aims to provide greater state-space reduction than classic partial order reduction methods in the context of hierarchical concurrent processes. Evaluation shows that CPOR is more effective in reducing the state space than classic partial order reduction methods. © 2011 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/43174
ISBN: 9783642245589
ISSN: 03029743
DOI: 10.1007/978-3-642-24559-6_9
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