A Detailed Account of The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction
Thomas Neele, Antti Valmari, Tim A. C. Willemse

TL;DR
This paper investigates the inconsistent labeling problem in stubborn set partial-order reduction, revealing a flaw in preserving stutter-trace equivalence and proposing a stronger, correct reduction condition with extensive proofs.
Contribution
It identifies a flaw in existing stubborn set reduction methods, introduces a stronger correctness condition, and provides formal proofs to ensure proper preservation of properties.
Findings
The original stubborn set conditions do not always preserve stutter-trace equivalence.
A new, stronger reduction condition guarantees correctness.
Practical implementations are unaffected as they compute correct approximations.
Abstract
One of the most popular state-space reduction techniques for model checking is partial-order reduction (POR). Of the many different POR implementations, stubborn sets are a very versatile variant and have thus seen many different applications over the past 32 years. One of the early stubborn sets works shows how the basic conditions for reduction can be augmented to preserve stutter-trace equivalence, making stubborn sets suitable for model checking of linear-time properties. In this paper, we identify a flaw in the reasoning and show with a counter-example that stutter-trace equivalence is not necessarily preserved. We propose a stronger reduction condition and provide extensive new correctness proofs to ensure the issue is resolved. Furthermore, we analyse in which formalisms the problem may occur. The impact on practical implementations is limited, since they all compute a correct…
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