Marlon Dumas spends much of his time researching Process modeling, Business process modeling, Business process, Web service and Business Process Execution Language. His research integrates issues of Business Process Model and Notation, Software engineering, Data mining and Information system in his study of Process modeling. His Process mining, Artifact-centric business process model and Business process discovery study in the realm of Business process modeling connects with subjects such as Multiple Models.
His work on Business process management is typically connected to Consolidation as part of general Business process study, connecting several disciplines of science. He interconnects Orchestration and Service in the investigation of issues within Web service. Marlon Dumas has included themes like Workflow and Petri net in his Business Process Execution Language study.
His primary scientific interests are in Business process, Process modeling, Business process modeling, Process mining and Data mining. The Business process study combines topics in areas such as Software engineering, Information system, Data science and Process management. His study in Software engineering is interdisciplinary in nature, drawing from both Business Process Execution Language, Petri net, Unified Modeling Language and Web service.
Marlon Dumas usually deals with Process modeling and limits it to topics linked to Business Process Model and Notation and XPDL and Programming language. Marlon Dumas works mostly in the field of Process mining, limiting it down to concerns involving Event and, occasionally, Range. His biological study deals with issues like WS-I Basic Profile, which deal with fields such as Services computing.
The scientist’s investigation covers issues in Business process, Process mining, Event, Process modeling and Data mining. Marlon Dumas has researched Business process in several fields, including Process, Artificial intelligence, Software engineering, Information system and Data science. His work carried out in the field of Software engineering brings together such families of science as Semantics, Blockchain, Compiler and Scripting language.
His studies deal with areas such as Scalability, Graph, Theoretical computer science, Business process discovery and Machine learning as well as Process mining. His Event research incorporates elements of Range, Performance indicator, Field and Benchmark. His Process modeling research incorporates themes from Heuristic, Concurrency and Business Process Model and Notation, Business process modeling, Conformance checking.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
QoS-aware middleware for Web services composition
Liangzhao Zeng;B. Benatallah;A.H.H. Ngu;M. Dumas.
(2004)
Fundamentals of Business Process Management
Marlon Dumas;Marcello La Rosa;Jan Mendling;Hajo A. Reijers.
(2013)
Quality driven web services composition
Liangzhao Zeng;Boualem Benatallah;Marlon Dumas;Jayant Kalagnanam.
(2003)
Semantics and analysis of business process models in BPMN
Remco M. Dijkman;Marlon Dumas;Chun Ouyang.
(2008)
Process Aware Information Systems: Bridging People and Software Through Process Technology
Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede.
(2005)
Process Mining Manifesto
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
(2012)
The Self-Serv environment for Web services composition
B. Benatallah;Q.Z. Sheng;M. Dumas.
(2003)
Similarity of business process models: Metrics and evaluation
Remco Dijkman;Marlon Dumas;Boudewijn van Dongen;Reina Käärik.
(2011)
Declarative composition and peer-to-peer provisioning of dynamic Web services
B. Benatallah;M. Dumas;Q.Z. Sheng;A.H.H. Ngu.
(2002)
Formal semantics and analysis of control flow in WS-BPEL
Chun Ouyang;Eric Verbeek;Wil M. P. van der Aalst;Stephan Breutel.
(2007)
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