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We present LOG2MODEL, an approach, supported by a tool, that builds behavioral models from log data. The logged data consists of time series encoding the values of the states of a system observed at discrete time steps. The models generated are Discrete-Time Markov Chains with states and transitions representing the values recorded in the log. The models contain key information that can be visualized...
This paper presents SymRT, a tool based on a combination of symbolic execution and real-time model checking for timing analysis of Java systems. Symbolic execution is used for the generation of a safe and tight timing model of the analyzed system capturing the feasible execution paths. The model is combined with suitable execution environment models capturing the timing behavior of the target host...
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