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Development and Implementation of UI/UX Design Principles for Process Mining

Student: Angelina Kosenko

Supervisor: Sergey Shershakov

Faculty: Faculty of Computer Science

Educational Programme: System and Software Engineering (Master)

Year of Graduation: 2024

Process mining is the general name for a number of methods and approaches designed to analyze and improve processes in information systems or business processes based on the study of system data about completed operations. Process mining is a relatively field, but many tools have already been created. Some of them have UI and some don't. Tools with UI are Celonis, SberPM, ProM, Disco, Minit. And there are some tools which haven’t UI. One of them is PM4Py. The research will involve collecting potential user opinions through surveys or interviews to gather insights into their needs and preferences regarding UI design in process mining tools. Additionally, various process mining tools will be analyzed to identify best practices and successful use of user interface design principles. This analysis will serve as a foundation for deriving a set of UI design principles for process mining tools. Building upon the analysis and the identified UI design principles, the final aim of this research is to implement a user-friendly UI for the PM4Py library, which is a leading open-source Python library for process mining. By implementing the proposed UI design, it is expected to enhance the usability and accessibility of process mining functionalities provided by the PM4Py library. Overall, this thesis will provide a comprehensive study of UI design principles for process mining tools. The outcomes of this research will contribute to the development of guidelines and recommendations for designing effective UIs in the field of process mining, ultimately leading to improved user experiences and increased user adoption of process mining tools.

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