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020 _a9783031613685
_9978-3-031-61368-5
024 7 _a10.1007/978-3-031-61368-5
_2doi
050 4 _aHF5548.125-.6
072 7 _aKJQ
_2bicssc
072 7 _aCOM005030
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_2thema
100 1 _aAgostinelli, Simone.
_eauthor.
_0(orcid)0000-0002-6500-9802
_1https://orcid.org/0000-0002-6500-9802
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980978
245 1 0 _aGenerating Executable Robotic Process Automation Scripts from Unsegmented User Interface Logs
_h[electronic resource] /
_cby Simone Agostinelli.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXX, 109 p. 29 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v522
505 0 _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.
520 _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.
650 0 _aBusiness
_xData processing.
_959544
650 0 _aArtificial intelligence.
_958441
650 0 _aInformation technology
_xManagement.
_957223
650 1 4 _aBusiness Informatics.
_965949
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aBusiness Process Management.
_966185
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031613678
776 0 8 _iPrinted edition:
_z9783031613692
830 0 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v522
_967481
856 4 0 _uhttps://doi.org/10.1007/978-3-031-61368-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNB
999 _c61784
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