Compositional verification algorithms are well-studied in the context of model checking. Properly selecting components for verification is important for efficiency, yet has received comparatively less attention. In this paper, we address this gap with a novel compositional verification framework that focuses on component selection as an explicit, first-class concept. The framework decomposes a system into components, which we then recompose into new components for efficient verification. At the heart of our technique is the recomposition map that determines how recomposition is performed; the component selection problem thus reduces to finding a good recomposition map. However, the space of possible recomposition maps can be large. We therefore propose heuristics to find a small portfolio of recomposition maps, which we then run in parallel. We implemented our techniques in a model checker for the TLA+ language. In our experiments, we show that our tool achieves competitive performance with TLC-a well-known model checker for TLA+-on a benchmark suite of distributed protocols.
@article{arxiv.2408.03488,
title = {Recomposition: A New Technique for Efficient Compositional Verification},
author = {Ian Dardik and April Porter and Eunsuk Kang},
journal= {arXiv preprint arXiv:2408.03488},
year = {2024}
}