03426nam a22005535i 4500 978-3-031-61368-5 DE-He213 20251030112641.0 cr nn 008mamaa 240721s2024 sz | s |||| 0|eng d 9783031613685 978-3-031-61368-5 10.1007/978-3-031-61368-5 doi HF5548.125-.6 KJQ bicssc COM005030 bisacsh KJQ thema Agostinelli, Simone. author. (orcid)0000-0002-6500-9802 https://orcid.org/0000-0002-6500-9802 aut http://id.loc.gov/vocabulary/relators/aut 80978 Generating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs [electronic resource] / by Simone Agostinelli. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 109 p. 29 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Business Information Processing, 1865-1356 ; 522 1) Introduction -- 2) Background -- 3) Segmentation in RPA -- 4) Segments Discovery through Frequent-Pattern Identification -- 5) Human-in-the-loop Interaction through SCAN -- 6) Routine Traces Detection through Trace Alignment -- 7) SmartRPA: Automated Generation of SW Robots -- 8) Realizing and Evaluating SmartRPA -- 9) Conclusion. This book is a revised version of the PhD dissertation written by the author at Sapienza – Università di Roma in Italy. Robotic Process Automation (RPA) is an automation technology in the field of BPM that creates software robots to automate rule-based and repetitive tasks performed by human users in their applications’ user interfaces (UIs). The research underlying this thesis is targeted to: (i) automatically understand which user actions contribute to which routines inside a UI log and (ii) automatically generate executable RPA scripts directly from the UI logs. To this end, a cross-platform software tool called smartRPA was developed, which is able to generate executable RPA scripts, and then validated on four non-functional requirements to measure the quality of the underlying approach. In 2023, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management. Business Data processing. 59544 Artificial intelligence. 58441 Information technology Management. 57223 Business Informatics. 65949 Artificial Intelligence. 58441 Business Process Management. 66185 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031613678 Printed edition: 9783031613692 Lecture Notes in Business Information Processing, 1865-1356 ; 522 67481 https://doi.org/10.1007/978-3-031-61368-5 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNB 61784 61784