A Combination Framework for Complexity
Martin Avanzini, Georg Moser

TL;DR
This paper introduces a comprehensive framework for analyzing polynomial complexity in term rewrite systems, enhancing modularity and generality through new techniques and integration into an automated tool.
Contribution
It presents a unified framework that generalizes existing complexity techniques and introduces dependency graph decomposition for improved modularity.
Findings
Framework covers derivational and runtime complexity analysis
Increases modularity with dependency graph decomposition
Successfully implemented in the TCT automated tool
Abstract
In this paper we present a combination framework for polynomial complexity analysis of term rewrite systems. The framework covers both derivational and runtime complexity analysis. We present generalisations of powerful complexity techniques, notably a generalisation of complexity pairs and (weak) dependency pairs. Finally, we also present a novel technique, called dependency graph decomposition, that in the dependency pair setting greatly increases modularity. We employ the framework in the automated complexity tool TCT. TCT implements a majority of the techniques found in the literature, witnessing that our framework is general enough to capture a very brought setting.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, programming, and type systems · Software Engineering Research · Parallel Computing and Optimization Techniques
