%0 Conference Proceedings
%T TransDPOR: A Novel Dynamic Partial-Order Reduction Technique for Testing Actor Programs
%+ Department of Computer Science [UIUC] (UIUC)
%+ Salisbury University
%+ Reliable and efficient component based software engineering (TRISKELL)
%A Tasharofi, Samira
%A Karmani, Rajesh, K.
%A Lauterburg, Steven
%A Legay, Axel
%A Marinov, Darko
%A Agha, Gul
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 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)
%C Stockholm, Sweden
%Y Holger Giese
%Y Grigore Rosu
%I Springer
%3 Formal Techniques for Distributed Systems
%V LNCS-7273
%P 219-234
%8 2012-06-13
%D 2012
%R 10.1007/978-3-642-30793-5_14
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01528727/document
%2 https://inria.hal.science/hal-01528727/file/978-3-642-30793-5_14_Chapter.pdf
%L hal-01528727
%U https://inria.hal.science/hal-01528727
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