Smyle — Synthesis of Design Models from Scenarios by Learning
نویسندگان
چکیده
This talk presents Smyle, a methodology for eliciting design models from informal requirements specifications. Based on novel learning techniques, design models are interactively derived based on desired and undesired behavior of the system to develop. The heart of Smyle is a procedure that infers a messagepassing automaton (MPA) from a given set of positive and negative scenarios of the system’s behavior provided as message sequence charts (MSCs). During the talk we further investigate which classes of regular MSC languages and corresponding MPAs can (not) be learned.
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