In English

Graph drawing strategies for large UML State Machine diagrams

Juan Pablo Contreras Franco
Göteborg : Chalmers tekniska högskola, 2017. 56 s.
[Examensarbete på avancerad nivå]

As systems grow in complexity, their development and maintainability cost increase since there is a cognitive effort involved in the process of understanding their state and the relationships of their parts. This report describes how two graph drawing strategies can improve the depictions of UML state machines from a particular business case. The intention is to show new options to improve the readability and overall quality of the outcome produced by an in-house graph drawing solution. This project address the features of the problem that are concerned about the graph quality of the software modeling tools in use. These features relate to how the user perceives the state machine drawings. An implementation of a proof of concept is the base to explore an alternative graph drawing framework with the purpose of motivating a discussion about the feasibility of migrating the current graph drawing engine into a new one.

The work concludes that it is possible to customize an existing framework to fulfill the usability standards for UML state machine layouts. Further improvements on the proof of concept are required. Mainly, the geometric information must get involved in realistic scenarios.

Nyckelord: Graph Drawing, UML 2, State Machines, Graph Algorithms, OGDF



Publikationen registrerades 2017-09-28. Den ändrades senast 2017-09-28

CPL ID: 252095

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