The parameter synthesis problem aims to find parameter valuations that guarantee that a given objective is satisfied for a parametric model. Applications range from automated model repair to optimisation. This lecture will focus on models with probability and real-time and give an overview of recent results concerning parameter synthesis from quantitative temporal logic objectives. Existing algorithmic approaches and experimental results will be discussed, and future research challenges outlined.
@InProceedings{kwiatkowska:OASIcs.SynCoP.2015.16, author = {Kwiatkowska, Marta}, title = {{Parameter synthesis for probabilistic real-time systems}}, booktitle = {2nd International Workshop on Synthesis of Complex Parameters (SynCoP'15)}, pages = {16--16}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-82-8}, ISSN = {2190-6807}, year = {2015}, volume = {44}, editor = {Andr\'{e}, \'{E}tienne and Frehse, Goran}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SynCoP.2015.16}, URN = {urn:nbn:de:0030-drops-56062}, doi = {10.4230/OASIcs.SynCoP.2015.16}, annote = {Keywords: Quantitative verification, Timed automata, Parameter synthesis} }
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