There are many classes of Petri nets for describing communicating systems. Some of these guarantee important properties, such as termination in the case of portnets. There are also many methods and tools available for their analysis and synthesis. However, when developing new methods, or benchmarking against existing ones, it is often helpful to quickly generate large sets of random models satisfying certain properties and user-defined rules. This paper presents a heuristic-driven method for synthetic generation of random portnets based on refinement rules. The method considers three user-specified complexity parameters: the expected number input and output places, and the prevalence of non-determinism in the skeleton of the generated net. An implementation of this method is available as an open-source Python tool. Experiments demonstrate the relations between the three complexity parameters and investigate the boundaries of the proposed method.
Paper: https://diallom.com/static/pnse.pdf
This repository contains the source code for a PortNet (Petri Net) and CoMMa interface generator. The code is a result of my bachelor thesis on "Towards the Scalability of Detecting and Correcting Incompatible Service Interfaces"
Generation.py is the file responsible for the creation of interfaces. Invoke the file as python generation.py inputs outputs prevalence the required positional parameters inputs, outputs and prevalence of non-determinism are supplied. Optionally a file-name can be supplied using --f filename without any extension. If this is not done all output files with get the default name (and overwrite!) generation.
stateyasper file is used to generate code for Yasper to display a graphical representation. As of right now there is no approach to neatly format this.
Paper: https://diallom.com/static/pnse.pdf
Thesis: https://diallom.com/static/thesis.pdf
ComMA: https://sws.cs.ru.nl/publications/papers/hooman/MODELSWARD2017.pdf
Benny Akesson. Debjyoti Bera. Jack Sleuters. Ronald Begeer.