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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Kseniya Davydova
Tool for Mining of Hybrid UML Diagrams from Event Logs
Software Engineering
(Bachelor’s programme)
10
2017
In the paper we consider a method for mining so-called “hybrid” UML diagrams, that refers to software process mining. Diagrams are built from execution traces of information systems with service-oriented architecture (SOA), given in form of event logs. While common reverse engineering techniques usually require the source code, which is often unavailable, our approach deals with event logs which are produced by a lot of information systems, and some heuristic parameters. Since an individual type of UML diagrams shows only one perspective of a system’s model, we propose to mine a combination of various types of UML diagrams, namely sequence and activity. This allows us to increase the expressive power of the individual diagram. Each type of diagram correlates with one of levels of abstraction (workflow and operation), which are commonly used while considering web-service interaction.

The proposed algorithm consists of three tasks. They include splitting an event log into several parts, building UML activity diagrams and a UML sequence diagram. We also propose to encapsulate some insignificant or low-level implementation details (such as internal service operations) into activity diagrams and connect them with a more general sequence diagram. To cope with a problem of immense size of synthesized UML sequence diagrams, we propose an abstraction technique using regular expressions.

All these approaches are implemented as a Windows-application. It allows analysts to configure some parameters, build models and export them into an XML-file which is compatible with well-known tool Sparx Enterprise Architect. Models can be visualized and utilized there.

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