About

Smyle is an acronym for Synthesizing Models bY Learning from Examples. Its major objective is to ease the development of concurrent systems. More specifically, the overall goal is to derive communication models of concurrent systems.

The synthesis process starts by providing the tool with a set of sample Message Sequence Charts (MSCs) where each MSC is either positive or negative. Positive MSCs describe system behavior that is possible and negative MSCs characterize unwanted or forbidden behavior.

Provided with such positive and negative example scenarios, Smyle employs dedicated learning techniques to generate a system model that conforms with the given examples.

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Theoretical background

To learn more about Smyle and its theoretical foundations, please look up the following documents:

2007
	Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern, Martin Leucker. Replaying Play in and Play out: Synthesis of Design Models from Scenarios by Learning. Proceedings of the 13th International Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS'07), Volume 4424 of Lecture Notes in Computer Science, pages 435–450, Springer Verlag, 2007.
2006
	Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern, Martin Leucker. Replaying Play in and Play out: Synthesis of Design Models from Scenarios by Learning. Technical report at RWTH Aachen number AIB-2006-12, 2006.