2020/01/08 by Ferreira, Deborah, Rozanova, Julia, Dubba, Krishna +2
#FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Software Engineering (cs.SE)
paper · doi:10.48550/arxiv.2001.02639
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different systems. So far, the field of IPA has been largely driven by systems and use cases, lacking a more formal definition of the task and its assessment. This paper aims to address this gap by providing a formalisation of IPA and by proposing specific metrics to support the empirical evaluation of IPA systems. This work also compares and contrasts IPA against related tasks such as end-user programming and program synthesis.