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authorCamil Staps2018-07-06 21:37:11 +0200
committerCamil Staps2018-07-06 21:37:11 +0200
commita7cea2181b5cb75e2ff62ad5a80c9532880e5346 (patch)
treeb8b8ef08405863ee1a654d81ea2483fa492262bd /Assignment2/report/assignment2.tex
parentPrevent division by zero in Z3 (diff)
Lalala
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\maketitle
\begin{abstract}
- Model repair bladibla % TODO
+ We discuss an approach to the repair of parametric models using an SMT solver.
+ To repair a model $\mathcal M$ which does not satisfy a probabilistic CTL formula $\phi$,
+ we add an additional parameter to the probability of each transition in $\mathcal M$,
+ after which we eliminate all non-initial non-absorbing states.
+ The SMT solver gets constraints to ensure that the repaired model remains valid
+ and to satisfy $\phi$.
+ Cost functions for the model repair problem can be formulated as a minimisation goal for the SMT solver.
+ Unfortunately, some technical issues prevent us from using the tool in practice.
+ We provide pointers to future work to resolve these issues.
\end{abstract}
\input{intro}
\input{method}
\input{implementation}
\input{discussion}
+\input{future}
\bibliography{library}
\bibliographystyle{splncs04}