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Experimental Model Synthesis for Timing Analysis of an Industrial Robot


Publication Type:

Report - MRTC




Manual modeling of real-time systems is time consuming and require skilled labor. As an alternative, for legacy systems without valid models, we advocate model synthesis (i.e. automated construction of models). Our previous work has presented a process for model synthesis that inputs logs from the original real-time system, and outputs a behavioral model. The current paper present an evaluation of this process that we performed on a state of practice industrial robot system. With this case study, we establish the feasibility of our model synthesis approach, and also show how to obtain a validated probabilistic models. These model can be used to analyze the temporal properties of real-time systems.


author = {Joel Huselius and Johan Kraft and Hans Hansson and Sasikumar Punnekkat},
title = {Experimental Model Synthesis for Timing Analysis of an Industrial Robot},
number = {ISSN 1404-3041 ISRN MDH-MRTC-193/2005-1-SE},
month = {November},
year = {2005},
url = {}