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2008

Translating Message Sequence Charts to other Process Languages Using Process Mining

9 years 6 months ago
Translating Message Sequence Charts to other Process Languages Using Process Mining
Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how different 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 different 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 pro...
Kristian Bisgaard Lassen, Boudewijn F. van Dongen
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TOPNOC
Authors Kristian Bisgaard Lassen, Boudewijn F. van Dongen
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