Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.

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Robotic process automation (RPA) is a rapid-emerging technology for process automation that is using software robots to replicate high-volume, manual, repeatable, routine, rule-based, and unmotivating human tasks. The goal is not to replace human workers but to allow them focus more on difficult tasks by delegating their tedious routine tasks to a digital force. RPA tools demonstrated powerful cost-saving and other performances. Nevertheless, one of the main challenges of implementing RPA is the identification of the suitable tasks for automation. Process mining is as an emerging technology for process discovery and enhancement based on event log data. Since RPA operates on the user interface level; process mining techniques can play a huge role in deciding the tasks that can be automated. However, process mining requires an event log as input to be used. This paper presents a tool responsible for recording the interactions with user interfaces and generating a UI log that can be used by process mining techniques for deciding the tasks that can be automated with RPA.