The Probabilistic Model Checking Landscape
Randomization is a key element in sequential and distributed computing. Reasoning about randomized algorithms is highly non-trivial. In the 1980s, this initiated first proof methods, logics, and model-checking algorithms. The field of probabilistic verification has developed considerably since then....
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| Vydané v: | Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science s. 31 - 45 |
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| Hlavný autor: | |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
New York, NY, USA
ACM
05.07.2016
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| Edícia: | ACM Conferences |
| Predmet: | |
| ISBN: | 9781450343916, 1450343910 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Randomization is a key element in sequential and distributed computing. Reasoning about randomized algorithms is highly non-trivial. In the 1980s, this initiated first proof methods, logics, and model-checking algorithms. The field of probabilistic verification has developed considerably since then. This paper surveys the algorithmic verification of probabilistic models, in particular probabilistic model checking. We provide an informal account of the main models, the underlying algorithms, applications from reliability and dependability analysis---and beyond---and describe recent developments towards automated parameter synthesis. |
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| ISBN: | 9781450343916 1450343910 |
| DOI: | 10.1145/2933575.2934574 |

