LPAR 2017
A Quantitative Partial Model-Checking Function and Its Optimisation
Abstract
Partial Model-Checking (PMC) is an efficient tool to reduce the combinatorial explosion of a state-space, arising in the verification of loosely-coupled software systems. At the same time, it is useful to consider quantitative temporal-modalities. This allows for checking whether satisfying such a desired modality is too costly, by comparing the final score consisting of how much the system spends to satisfy the policy, to a given threshold. We stir these two ingredients together in order to provide a Quantitative PMC function (QPMC), based on the algebraic structure of semirings. We design a method to extract part of the weight during QPMC, with the purpose to avoid the evaluation of a modality as soon as the threshold is crossed. Moreover, we extend classical heuristics to be quantitative, and we investigate the complexity of QPMC. Keyword: Partial Model Checking, Semirings, Optimisation, Quantitative Modal Logic Quantitative Process Algebra, Quantitative Evaluation of Systems.
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Context
- Venue
- International Conference on Logic for Programming, Artificial Intelligence and Reasoning
- Archive span
- 1992-2024
- Indexed papers
- 780
- Paper id
- 347249797050692750