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SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs

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Intelligent Information Systems (CAiSE 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 424))

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Abstract

Robotic Process Automation (RPA) is an emerging technology that automates intensive routine tasks (or simply routines) previously performed by a human user on the User Interface (UI) of a computer system, by means of a software (SW) robot. To date, RPA tools available in the market strongly relies on the ability of human experts to manually implement the routines to automate. Being the current practice time-consuming and error-prone, in this paper we present SmartRPA, a cross-platform software tool that tackles such issues by exploiting UI logs keeping track of many routine executions to generate executable RPA scripts that automate the routines enactment by SW robots.

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Notes

  1. 1.

    Note that the user actions recorded in a UI log can have a finer granularity than the high-level ones used here just with the purpose of describing the routine’s behaviour.

  2. 2.

    https://palletsprojects.com/p/flask.

  3. 3.

    https://pandas.pydata.org/.

  4. 4.

    XES is the standard for the storage, interchange, and analysis of event logs.

  5. 5.

    http://www.promtools.org/.

  6. 6.

    https://fluxicon.com/disco/.

  7. 7.

    https://github.com/automagica/automagica.

  8. 8.

    https://www.selenium.dev/.

  9. 9.

    https://www.uipath.com/product/studio.

  10. 10.

    For the sake of space, the table includes only the results related to UI logs containing 1000 routine executions.

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Acknowledgments

This work has been supported by the “Dipartimento di Eccellenza” grant, the H2020 project DataCloud and the Sapienza grant BPbots.

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Correspondence to Simone Agostinelli .

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Agostinelli, S., Lupia, M., Marrella, A., Mecella, M. (2021). SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs. In: Nurcan, S., Korthaus, A. (eds) Intelligent Information Systems. CAiSE 2021. Lecture Notes in Business Information Processing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-79108-7_16

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  • DOI: https://doi.org/10.1007/978-3-030-79108-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79107-0

  • Online ISBN: 978-3-030-79108-7

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