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TransDPOR: A Novel Dynamic Partial-Order Reduction Technique for Testing Actor Programs

Samira Tasharofi 1 Rajesh K. Karmani 1 Steven Lauterburg 2 Axel Legay 3 Darko Marinov 1 Gul Agha 1 
3 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : To detect hard-to-find concurrency bugs, testing tools try to systematically explore all possible interleavings of the transitions in a concurrent program. Unfortunately, because of the nondeterminism in concurrent programs, exhaustively exploring all interleavings is time-consuming and often computationally intractable. Speeding up such tools requires pruning the state space explored. Partial-order reduction (POR) techniques can substantially prune the number of explored interleavings. These techniques require defining a dependency relation on transitions in the program, and exploit independency among certain transitions to prune the state space.We observe that actor systems, a prevalent class of programs where computation entities communicate by exchanging messages, exhibit a dependency relation among co-enabled transitions with an interesting property: transitivity. This paper introduces a novel dynamic POR technique, TransDPOR, that exploits the transitivity of the dependency relation in actor systems. Empirical results show that leveraging transitivity speeds up exploration by up to two orders of magnitude compared to existing POR techniques.
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Samira Tasharofi, Rajesh K. Karmani, Steven Lauterburg, Axel Legay, Darko Marinov, et al.. TransDPOR: A Novel Dynamic Partial-Order Reduction Technique for Testing Actor Programs. 14th International Conference on Formal Methods for Open Object-Based Distributed Systems (FMOODS) / 32nd International Conference on Formal Techniques for Networked and Distributed Systems (FORTE), Jun 2012, Stockholm, Sweden. pp.219-234, ⟨10.1007/978-3-642-30793-5_14⟩. ⟨hal-01528727⟩



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