Discovering Automatable Routines From User Interaction Logs

Antonio Bosco; Adriano Augusto; Marlon Dumas; Marcello La Rosa; Giancarlo Fortino

Conference Proceedings

Discovering Automatable Routines From User Interaction Logs

Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino

Business Process Management Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 360. | Springer, Cham | Published : 2019

DOI: 10.1007/978-3-030-26643-1_9

Download PDF

Abstract

The complexity and rigidity of legacy applications in modern organizations engender situations where workers need to perform repetitive routines to transfer data from one application to another via their user interfaces, e.g. moving data from a spreadsheet to a Web application or vice-versa. Discovering and automating such routines can help to eliminate tedious work, reduce cycle times, and improve data quality. Advances in Robotic Process Automation (RPA) technology make it possible to conveniently automate such routines, but not to discover them in the first place. This paper presents a method to analyse user interactions in order to discover routines that are fully deterministic and thus ..

View full abstract

University of Melbourne Researchers

Marcello La Rosa Author

Related Projects (1)

DIAGNOSIS AND PREDICTION OF BUSINESS PROCESS DEVIANCES

This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in orde..

Grants

Awarded by Horizon 2020 Framework Programme

Funding Acknowledgements

This research is funded by the Australian Research Council (DP180102839), the Estonian Research Council (IUT20-55), and the European Research Council (project "PIX").