國立虎尾科技大學 |

Generating executable robotic process automation scripts from unsegmented user interface logs

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generating executable robotic process automation scripts from unsegmented user interface logs/ by Simone Agostinelli.
作者:	Agostinelli, Simone.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xx, 109 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Business Process Management. -
電子資源:	https://doi.org/10.1007/978-3-031-61368-5
ISBN:	9783031613685

Generating executable robotic process automation scripts from unsegmented user interface logs
Agostinelli, Simone.

Generating executable robotic process automation scripts from unsegmented user interface logs[electronic resource] /by Simone Agostinelli. - Cham :Springer Nature Switzerland :2024. - xx, 109 p. :ill., digital ;24 cm. - Lecture notes in business information processing,5221865-1356 ;. - Lecture notes in business information processing ;134..

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.

ISBN: 9783031613685

Standard No.: 10.1007/978-3-031-61368-5doiSubjects--Topical Terms:

1066351
Business Process Management.

LC Class. No.: HF5548.2

Dewey Class. No.: 650.0285

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