| dc.contributor.author | Leno, V | |
| dc.contributor.author | Deviatykh, S | |
| dc.contributor.author | Polyvyanyy, A | |
| dc.contributor.author | La Rosa, M | |
| dc.contributor.author | Dumas, M | |
| dc.contributor.author | Maggi, FM | |
| dc.date.accessioned | 2021-02-03T01:23:06Z | |
| dc.date.available | 2021-02-03T01:23:06Z | |
| dc.date.issued | 2020-01-01 | |
| dc.identifier.citation | Leno, V., Deviatykh, S., Polyvyanyy, A., La Rosa, M., Dumas, M. & Maggi, F. M. (2020). Robidium: Automated synthesis of robotic process automation scripts from UI logs. Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), 2673, pp.102-106. CEUR Workshop Proceedings. | |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://hdl.handle.net/11343/258907 | |
| dc.description.abstract | This paper presents Robidium: a tool that discovers au- tomatable routine tasks from User Interactions (UI) logs and generates Robotic Process Automation (RPA) scripts to automate such routines. Unlike record-and-replay features provided by commercial RPA tools, Robidium may take as input an UI log that is not specifically recorded to capture a pre-identified task. Instead, the log may contain mixtures of automatable and non-automatable routines, interspersed with events that are not part of any routine as well as redundant or irrelevant events. | |
| dc.publisher | CEUR Workshop Proceedings | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
| dc.source | BPM 2020 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track | |
| dc.title | Robidium: Automated synthesis of robotic process automation scripts from UI logs | |
| dc.type | Conference Paper | |
| melbourne.affiliation.department | Computing and Information Systems | |
| melbourne.source.title | CEUR Workshop Proceedings | |
| melbourne.source.volume | 2673 | |
| melbourne.source.pages | 102-106 | |
| melbourne.identifier.arc | DP180102839 | |
| dc.rights.license | CC BY | |
| melbourne.elementsid | 1469328 | |
| pubs.publisher-url | http://ceur-ws.org/Vol-2673/paperDR08.pdf | |
| melbourne.openaccess.url | http://ceur-ws.org/Vol-2673/paperDR08.pdf | |
| melbourne.openaccess.status | Published version | |
| melbourne.contributor.author | La Rosa, Marcello | |
| melbourne.contributor.author | Polyvyanyy, Artem | |
| melbourne.contributor.author | Leno, Volodymyr | |
| melbourne.identifier.fundernameid | Australian Research Council, DP180102839 | |
| melbourne.event.location | Sevilla, Spain | |
| melbourne.accessrights | Open Access | |
