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Marlon Dumas

Researcher at University of Tartu

Publications -  497
Citations -  29745

Marlon Dumas is an academic researcher from University of Tartu. The author has contributed to research in topics: Business process & Business process modeling. The author has an hindex of 77, co-authored 465 publications receiving 26791 citations. Previous affiliations of Marlon Dumas include Queensland University of Technology & University of Melbourne.

Papers
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Journal ArticleDOI

QoS-aware middleware for Web services composition

TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Proceedings ArticleDOI

Quality driven web services composition

TL;DR: This paper proposes a global planning approach to optimally select component services during the execution of a composite service, and experimental results show that thisglobal planning approach outperforms approaches in which the component services are selected individually for each task in a Composite service.
Book ChapterDOI

Process Mining Manifesto

Wil M. P. van der Aalst, +78 more
TL;DR: This manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users to increase the maturity of process mining as a new tool to improve the design, control, and support of operational business processes.
Book

Fundamentals of Business Process Management

TL;DR: The fundamentals of business process management (BPM) is presented in this article, where concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach.
Journal ArticleDOI

Semantics and analysis of business process models in BPMN

TL;DR: In this article, the authors propose a mapping from BPMN to Petri nets, for which efficient analysis techniques are available, and implement a tool that, in conjunction with existing Petri net-based tools, enables the static analysis of BPMNs models.