
Dear Hermann, thank you for your interest in COMPASS. Indeed, there are some issues with probabilistic verification and performability analysis. This is explained in Section 6 of the COMPASS tutorial, where a variant of the battery_sensor model is presented and probabilistic analyses are exemplified. Someone from RWTH Aachen University -- who implemented this part -- can perhaps follow up with some more details. As regards this mailing list, it is a closed support list, so there is no public archive of it. Best regards, Marco On 09-Jul-21 15:44, Walth, Hermann wrote:
Hello,
I have been trying out COMPASS for the past few weeks, but I have not quite managed to get what I want out of it. I am mostly interested in quantitative measures such as unreliability and unavailability.
Using the battery_sensor example provided with COMPASS, I could at least obtain a measure for unreliability in the Safety/Fault Tree Evaluation tab. However, this feature works by generating fault trees - I have been under the impression that COMPASS has more expressive power than fault trees. And I have no idea how to measure unavailability using COMPASS - the battery_sensor example is not repairable and neither are most of the examples provided with COMPASS.
I believe the Performability/IMC Analysis feature should also be able to give me quantitative results, but all I can get out of it is "Long Run Average: 0.0". I have noticed the warning "The root component contains ports. Performability results are undefined.", but even with a SLIM model I made myself featuring no ports in its root component, I get the same result. I am using a property of the form "Globally, {not sys.is_alive} holds eventually with probability > 0.0".
Is there any way to obtain measures of unreliability and more importantly, unavailability from COMPASS? Is the only way to get these measures via Fault Tree Generation?
Additionally, I have been wondering if there is any kind of archive of this mailing list - I have been looking for one but have not found any.
Best Regards,
Hermann Walth
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