Generating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs [electronic resource] / by Simone Agostinelli.

Por: Agostinelli, Simone [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Business Information Processing ; 522Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XX, 109 p. 29 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031613685Tema(s): Business -- Data processing | Artificial intelligence | Information technology -- Management | Business Informatics | Artificial Intelligence | Business Process ManagementFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 650.0285 | 658.05 Clasificación LoC:HF5548.125-.6Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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