LOSEJul 1, 2019

Parametric Verification: An Introduction

arXiv:1907.00555v16 citations
Originality Synthesis-oriented
AI Analysis

It provides an introductory tutorial for researchers and practitioners in formal methods, focusing on incremental advancements in parametric verification techniques.

This paper introduces parametric verification for concurrent systems, covering models like Parametric Timed Automata and Parametric Interval Markov Chains to handle unknown timing constraints and probabilistic intervals, and includes practical tools and references.

This paper constitutes a short introduction to parametric verification of concurrent systems. It originates from two 1-day tutorial sessions held at the Petri nets conferences in Toruń (2016) and Zaragoza (2017). The paper presents not only the basic formal concepts tackled in the video version, but also an extensive literature to provide the reader with further references covering the area. We first introduce motivation behind parametric verification in general, and then focus on different models and approaches, for verifying several kinds of systems. They include Parametric Timed Automata, for modelling real-time systems, where the timing constraints are not necessarily known a priori. Similarly, Parametric Interval Markov Chains allow for modelling systems where probabilities of events occurrences are intervals with parametric bounds. Parametric Petri Nets allow for compact representation of systems, and cope with different types of parameters. Finally, Action Synthesis aims at enabling or disabling actions in a concurrent system to guarantee some of its properties. Some tools implementing these approaches were used during hands-on sessions at the tutorial. The corresponding practicals are freely available on the Web.

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