Translating message sequence charts to other process languages using process mining

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Abstract

Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how di??erent actors (e.g., system components, people, or organizations) interact. MSCs are often used as a starting point for software analysts to discuss the behavior of a system with di??erent stakeholders. Often such discussions lead to more complete behavioral models described by e.g. Event-driven Process Chains (EPCs), UML activity diagrams, BPMN models, Petri nets, etc. The contribution of this paper is to present a method that uses process mining to translate a set of MSCs that represent example scenarios into a complete process model, e.g., represented in terms of EPCs or Petri nets. Our approach takes MSCs and translates them into a special kind event logs. Unlike all known process mining techniques, we use a new approach that uses event logs containing explicit causal dependencies. This allows us to discover high-quality process models. The approach has been implemented in the process mining framework ProM.
Original languageEnglish
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Number of pages15
ISBN (Print)978-90-386-0964-5
Publication statusPublished - 2007

Publication series

NameBETA publicatie : working papers
Volume207
ISSN (Print)1386-9213

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