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Robotic Process Automation (RPA) is a technology for automating repetitiveroutines consisting of sequences of user interactions with one or moreapplications. In order to fully exploit the opportunities opened by RPA,companies need to discover which specific routines may be automated, and how.In this setting, this paper addresses the problem of analyzing User Interaction(UI) logs in order to discover routines where a user transfers data from onespreadsheet or (Web) form to another. The paper maps this problem to that ofdiscovering data transformations by example - a problem for which severaltechniques are available. The paper shows that a naive application of astate-of-the-art technique for data transformation discovery is computationallyinefficient. Accordingly, the paper proposes two optimizations that takeadvantage of the information in the UI log and the fact that data transfersacross applications typically involve copying alphabetic and numeric tokensseparately. The proposed approach and its optimizations are evaluated using UIlogs that replicate a real-life repetitive data transfer routine.

Automated Discovery of Data Transformations for Robotic Process Automation