On learning assumptions for compositional verification of probabilistic systems
<p>Probabilistic model checking is a powerful formal verification method that can ensure the correctness of real-life systems that exhibit stochastic behaviour. The work presented in this thesis aims to solve the <em>scalability</em> challenge of probabilistic model checking, by de...
| 第一著者: | |
|---|---|
| その他の著者: | |
| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2014
|
| 主題: |