Stratified Commutativity in Verification Algorithms for Concurrent ProgramsVirtual
The importance of exploiting \emph{commutativity relations} in verification algorithms for concurrent programs is well-known.
They can help simplify the proof and improve the time and space efficiency.
This paper studies commutativity relations as a first-class object in the setting of verification algorithms for concurrent programs.
A first contribution is a general framework for \emph{abstract commutativity relations}.
We introduce a general soundness condition for commutativity relations,
and present a method to automatically derive sound abstract commutativity relations from a given proof.
The method can be used in a verification algorithm based on abstraction refinement to compute a new commutativity relation in each iteration of the abstraction refinement loop.
A second result is a general proof rule that allows one to combine multiple commutativity relations, with incomparable power,
in a \emph{stratified} way that preserves soundness and allows one to profit from the full power of the combined relations.
We present an algorithm for the stratified proof rule that performs an optimal combination (in a sense made formal),
enabling usage of stratified commutativity in algorithmic verification.
We empirically evaluate the impact of abstract commutativity and stratified combination of commutativity relations on verification algorithms for concurrent programs.
Wed 18 JanDisplayed time zone: Eastern Time (US & Canada) change
10:45 - 12:00 | Automated VerificationPOPL at Grand Ballroom A Chair(s): Michael Greenberg Stevens Institute of Technology | ||
10:45 25mTalk | Kater: Automating Weak Memory Model Metatheory and Consistency Checking POPL DOI | ||
11:10 25mTalk | Stratified Commutativity in Verification Algorithms for Concurrent ProgramsVirtual POPL Azadeh Farzan University of Toronto, Dominik Klumpp University of Freiburg, Andreas Podelski University of Freiburg DOI | ||
11:35 25mTalk | A Partial Order View of Message-Passing Communication Models POPL Cinzia Di Giusto Université Côte d'Azur; CNRS, Davide Ferre' Université Côte d'Azur; CNRS, Laetitia Laversa Université Côte d'Azur; CNRS, Etienne Lozes Université Côte d'Azur; CNRS DOI |