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Bot Log Mining : Using Logs from Robotic Process Automation for Process Mining

Title data

Egger, Andreas ; ter Hofstede, Arthur H. M. ; Kratsch, Wolfgang ; Leemans, Sander J. J. ; Röglinger, Maximilian ; Wynn, Moe T.:
Bot Log Mining : Using Logs from Robotic Process Automation for Process Mining.
2020
Event: 39th International Conference on Conceptual Modeling - ER 2020, Online , 3.-6. Nov. 2020 , Vienna, Austria.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

Robotic Process Automation (RPA) is an emerging technology
for automating tasks using bots that can mimic human actions on computer systems. Most existing research focuses on the earlier phases of RPA implementations, e.g. the discovery of tasks that are suitable for automation. To detect exceptions and explore opportunities for bot and process redesign, historical data from RPA-enabled processes in the form of bot logs or process logs can be utilized. However, the isolated use of bot logs or process logs provides only limited insights and not a good understanding of an overall process. Therefore, we develop an approach that merges bot logs with process logs for process mining. A merged log enables an integrated view on the role and effects of bots in an RPAenabled process. We first develop an integrated data model describing the structure and relation of bots and business processes. We then specify and instantiate a `bot log parser' translating bot logs of three leading RPA vendors into the XES format. Further, we develop the `log merger' functionality that merges bot logs with logs of the underlying business processes. We further introduce process mining measures allowing the analysis of a merged log.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Robotic Process Automation; Process Mining; Business Process Management
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 15 Sep 2020 06:58
Last Modified: 15 Sep 2020 08:26
URI: https://eref.uni-bayreuth.de/id/eprint/57185