Verification of Data-Aware Processes via Satisfiability Modulo Theories
This book is a revised version of the PhD dissertation written by the author at the University of Bozen-Bolzano in Italy. It presents a new approach to safety verification of a particular class of infinite-state systems, called Data-Aware Processes (DAPs). To do so, the developed technical machinery...
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer Nature Switzerland
2023, 2023
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Edition: | 1st ed. 2023 |
Series: | Lecture Notes in Business Information Processing
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Summary: | This book is a revised version of the PhD dissertation written by the author at the University of Bozen-Bolzano in Italy. It presents a new approach to safety verification of a particular class of infinite-state systems, called Data-Aware Processes (DAPs). To do so, the developed technical machinery requires to devise novel results for uniform interpolation and its combination in the context of automated reasoning. These results are then applied to the analysis of concrete business processes enriched with real data. In 2022, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management. |
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Physical Description: | XXVIII, 317 p. 28 illus online resource |
ISBN: | 9783031427466 |