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Opportunities for Process Improvement: A Cross-Clientele Analysis of Event Data Using Process Mining.

, , , , and . ICSOC, volume 9435 of Lecture Notes in Computer Science, page 444-460. Springer, (2015)

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Process diagnostics using trace alignment: Opportunities, issues, and challenges., and . Inf. Syst., 37 (2): 117-141 (2012)Abstractions in Process Mining: A Taxonomy of Patterns., and . BPM, volume 5701 of Lecture Notes in Computer Science, page 159-175. Springer, (2009)CAG: compliance adherence and governance in software delivery using blockchain., , , and . WETSEB@ICSE, page 32-39. IEEE / ACM, (2019)BLINKER: A Blockchain-Enabled Framework for Software Provenance., , , and . APSEC, page 1-8. IEEE, (2019)Data Mining Approaches to Software Fault Diagnosis., and . RIDE, page 45-52. IEEE Computer Society, (2005)Analyzing Process Variants to Understand Differences in Key Performance Indices., , and . CAiSE, volume 10253 of Lecture Notes in Computer Science, page 298-313. Springer, (2017)Regression and Integration Operations in Text Mining., and . MLMTA, page 134-139. CSREA Press, (2005)ShIFt: software identity framework for global software delivery., , , and . ICGSE, page 112-118. IEEE / ACM, (2019)Opportunities for Process Improvement: A Cross-Clientele Analysis of Event Data Using Process Mining., , , , and . ICSOC, volume 9435 of Lecture Notes in Computer Science, page 444-460. Springer, (2015)Trace Alignment in Process Mining: Opportunities for Process Diagnostics., and . BPM, volume 6336 of Lecture Notes in Computer Science, page 227-242. Springer, (2010)