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On Evolvability Issues of Robotic Process Automation (RPA)

Authors:
Geert Haerens
Her Mannaert

Keywords: RPA; Normalized Systems; Evolvability

Abstract:
Robotic Process Automation (RPA) receives a lot of publication attention in business and academic publications. RPA has also become big business, as it offers a cheap, fast and non-intrusive solution for businesses who want to improve their process performance while not having to re-engineer their processes and/or overhaul their IT landscape. Current literature points out some limitations for RPA but does not go much further than some rules of thumb. Using the Normalized Systems (NS) theory – a theory to study modular structures’ behavior under change – we can surface that RPA has serious evolvability issues. These evolvability issues have been observed as well by RPA practitioners. This paper contributes to both the value of NS to study evolvability and to point out the evolvability limitations of RPA, which are currently underrepresented in related research.

Pages: 25 to 32

Copyright: Copyright (c) IARIA, 2020

Publication date: April 26, 2020

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-783-2

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020