University of Twente Student Theses
Identifying Users’ Skill Level through the Process Mining of Software Logs
Spijker, K. (2019) Identifying Users’ Skill Level through the Process Mining of Software Logs.
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| Abstract: | These days, information systems generate extraordinary amounts of data. A very useful metric for improving these information systems is the skill level of a user. Therefore, this research will demonstrate how different skill levels of users can be identifed, based on a software generated request log. After pre-processing the raw data of a request log, process mining will be applied to the resulting event log to generate models, which will be used to identify differences between different skill levels of users. Therefore, this paper describes in a way to identify different skill levels of users and it describes how to extract those levels from software logs. Furthermore, this paper illustrates how these results could be applied in order to improve the currently existing software system. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Keywords: | Process mining, Request log, Event log, User skill, User behaviour |
| Link to this item: | https://purl.utwente.nl/essays/78820 |
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