Treffer: A Pragmatic Approach to Stateful Partial Order Reduction

Title:
A Pragmatic Approach to Stateful Partial Order Reduction
Contributors:
Université Paris Cité (UPCité), École polytechnique (X), Institut Polytechnique de Paris (IP Paris), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS), University of Toronto, Sabanci University [Istanbul]
Source:
24th International Conference Interpretation Verification. :129-154
Publisher Information:
CCSD; Springer Nature Switzerland, 2023.
Publication Year:
2023
Collection:
collection:X
collection:CNRS
collection:LIX
collection:X-LIX
collection:X-DEP
collection:X-DEP-INFO
collection:IP_PARIS
collection:UNIV-PARIS
collection:UNIVERSITE-PARIS
collection:DEPARTEMENT-DE-MATHEMATIQUES
Subject Geographic:
Original Identifier:
HAL: hal-04465388
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-24950-1_7
DOI:
10.1007/978-3-031-24950-1_7
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04465388v1
Database:
HAL

Weitere Informationen

Partial order reduction (POR) is a classic technique for dealing with the state explosion problem in model checking of concurrent programs. Theoretical optimality, i.e., avoiding enumerating equivalent interleavings, does not necessarily guarantee optimal overall performance of the model checking algorithm. The computational overhead required to guarantee optimality may by far cancel out any benefits that an algorithm may have from exploring a smaller state space of interleavings. With a focus on overall performance, we propose new algorithms for stateful POR based on the recently proposed source sets, which are less precise but more efficient than the state of the art in practice. We evaluate efficiency using an implementation that extends Java Pathfinder in the context of verifying concurrent data structures.