Abstract
AbstractIn many applications for which reactive synthesis is attractive, computed implementations need to have understandable behavior. While some existing synthesis approaches compute finite-state machines with a structure that supports their understandability, such approaches do not scale to specifications that can only be realized with a large number of states. Furthermore, asking the engineer to understand the internal structure of the implementation is unnecessary when only the behavior of the implementation is to be understood.In this paper, we present an approach to computing understandable safety invariants that every implementation satisfying a generalized reactivity(1) specification needs to fulfill. Together with the safety part of the specification, the invariants completely define which transitions between input and output proposition valuations any correct implementation can take. We apply the approach in two case studies and demonstrate that the computed invariants highlight the strategic decisions that implementations for the given specification need to make, which not only helps the system designer with understanding what the specification entails, but also supports specification debugging.
Publisher
Springer Nature Switzerland
Reference36 articles.
1. Alur, R., Moarref, S., Topcu, U.: Pattern-based refinement of assume-guarantee specifications in reactive synthesis. In: 21st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), pp. 501–516 (2015)
2. Lecture Notes in Computer Science;B Aminof,2012
3. Baumeister, T., Finkbeiner, B., Torfah, H.: Explainable reactive synthesis. In: 18th International Symposium on Automated Technology for Verification and Analysis (ATVA), pp. 413–428 (2020)
4. Biere, A., Fazekas, K., Fleury, M., Heisinger, M.: CaDiCaL, Kissat, Paracooba, Plingeling and Treengeling entering the SAT Competition 2020. In: Balyo, T., Froleyks, N., Heule, M., Iser, M., Järvisalo, M., Suda, M. (eds.) SAT Competition 2020 – Solver and Benchmark Descriptions. Department of Computer Science Report Series B, vol. B-2020-1, pp. 51–53. University of Helsinki (2020)
5. Lecture Notes in Computer Science;R Bloem,2015