LEADER 03402nam 22005775 450 001 9910874673803321 005 20240916220314.0 010 $a9783031613685$b(electronic bk.) 010 $z9783031613678 024 7 $a10.1007/978-3-031-61368-5 035 $a(MiAaPQ)EBC31539149 035 $a(Au-PeEL)EBL31539149 035 $a(CKB)33101343900041 035 $a(DE-He213)978-3-031-61368-5 035 $a(EXLCZ)9933101343900041 100 $a20240721d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenerating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs /$fby Simone Agostinelli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (120 pages) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v522 311 08$aPrint version: Agostinelli, Simone Generating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs Cham : Springer,c2024 9783031613678 327 $a1) 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. 330 $aThis book is a revised version of the PhD dissertation written by the author at Sapienza ? Università di Roma in Italy. Robotic Process Automation (RPA) is an automation technology in the field of BPM that creates software robots to automate rule-based and repetitive tasks performed by human users in their applications? user interfaces (UIs). The research underlying this thesis is targeted to: (i) automatically understand which user actions contribute to which routines inside a UI log and (ii) automatically generate executable RPA scripts directly from the UI logs. To this end, a cross-platform software tool called smartRPA was developed, which is able to generate executable RPA scripts, and then validated on four non-functional requirements to measure the quality of the underlying approach. In 2023, the PhD dissertation won the ?BPM Dissertation Award?, granted to outstanding PhD theses in the field of Business Process Management. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v522 606 $aBusiness$xData processing 606 $aArtificial intelligence 606 $aInformation technology$xManagement 606 $aBusiness Informatics 606 $aArtificial Intelligence 606 $aBusiness Process Management 615 0$aBusiness$xData processing. 615 0$aArtificial intelligence. 615 0$aInformation technology$xManagement. 615 14$aBusiness Informatics. 615 24$aArtificial Intelligence. 615 24$aBusiness Process Management. 676 $a650.0285 676 $a658.05 700 $aAgostinelli$b Simone$01749182 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910874673803321 996 $aGenerating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs$94183229 997 $aUNINA