A Model Checker Collection for the Model Checking Contest @ Petri - - PowerPoint PPT Presentation

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A Model Checker Collection for the Model Checking Contest @ Petri - - PowerPoint PPT Presentation

Aug 16, 2023 403 likes •614 views

A Model Checker Collection for the Model Checking Contest @ Petri Nets Didier Buchs Stefan Klikovits Alban Linard Romain Mencattini Dimitri Racordon 28 June 2018 1/11 1/11 Examination Result GreatSPN ITSTools LoLA LTSMin Marcie

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A Model Checker Collection for the Model Checking Contest @ Petri Nets

Didier Buchs Stefan Klikovits Alban Linard Romain Mencattini Dimitri Racordon 28 June 2018

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1/11

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Examination Result GreatSPN ITSTools LoLA LTSMin Marcie Smart Spot Tapaal Tina

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Examination Result GreatSPN ITSTools LoLA LTSMin Marcie Smart Spot Tapaal Tina

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Examination Result GreatSPN ITSTools LoLA LTSMin Marcie Smart Spot Tapaal Tina

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◮ 35 Gbytes ◮ VM within VM (or confmicts) ◮ Not reusable ◮ 5 Gbytes ◮ Docker within VM ◮ Reusable

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https://mcc.lip6.fr/pdf/rules.pdf

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“T-2. Developers of a tool (or a tool extension) can participate with their own work. Tools may also be submitted by others if they present the latest version available on the Web, and with the agreement of their authors.” Latest Agreement Docker Included GreatSPN    ITSTools  ?  LoLA    LTSMin    Marcie    Smart    Spot ?   Tapaal    Tina   

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“T-2. Developers of a tool (or a tool extension) can participate with their own work. Tools may also be submitted by others if they present the latest version available on the Web, and with the agreement of their authors.” Latest Agreement Docker Included GreatSPN    ITSTools  ?  LoLA    LTSMin    Marcie    Smart    Spot ?   Tapaal    Tina   

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“T-5. Submitted tools must honestly perform the computations required by the MCC examinations. Using precomputed results is not allowed and, if detected, will disqualify the tool submission.”

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irma4mcc

◮ explicit choice ◮ does not compete

mcc4mcc

◮ machine learning ◮ competes

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5 10 15 20 25 5 10 15 20 25 # characteristics average models per characteristics

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Score # of characteristics used Neural Network Naive Bayes SVM Decision Tree

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Score % of inputs used in learning Neural Network Naive Bayes SVM Decision Tree

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https://github.com/cui-unige/mcc4mcc

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A tool to wrap them all Can be used by non-experts

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https://github.com/cui-unige/mcc4mcc

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◮ A tool to wrap them all ◮ Can be used by non-experts

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Questions?

All images are taken from Wikipedia (https://www.wikipedia.org), or They Live by John Carpenter. Icons are taken from FontAwesome (https://fontawesome.com).

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Questions?

All images are taken from Wikipedia (https://www.wikipedia.org), or They Live by John Carpenter. Icons are taken from FontAwesome (https://fontawesome.com).