Barbara Weber spends much of her time researching Business process, Software engineering, Business process management, Process management and Process modeling. The various areas that she examines in her Business process study include Adaptation, Workflow and Knowledge management. Her Software engineering study combines topics in areas such as Outcome, Case-based reasoning and Process modeling languages.
Her Process management study combines topics from a wide range of disciplines, such as Work in process and Flexibility. Barbara Weber frequently studies issues relating to Process engineering and Process modeling. Her Business process discovery study incorporates themes from Process mining, Artifact-centric business process model and Business Process Model and Notation.
Barbara Weber focuses on Business process, Process modeling, Business process modeling, Software engineering and Business process management. Her research integrates issues of Work in process, Flexibility, Knowledge management and Process management in her study of Business process. Her Knowledge management research is multidisciplinary, incorporating perspectives in Task and Business process intelligence.
Barbara Weber interconnects Quality, Data science and Artificial intelligence in the investigation of issues within Process modeling. Her work carried out in the field of Business process modeling brings together such families of science as Data mining and Set. Barbara Weber has included themes like Workflow, Systems engineering and Case-based reasoning in her Software engineering study.
Process modeling, Business process, Human–computer interaction, Data science and Software engineering are her primary areas of study. Her Process modeling study combines topics from a wide range of disciplines, such as Quality, Business Process Model and Notation, Artifact and Flexibility. Her study in Quality is interdisciplinary in nature, drawing from both Business process management and Construct.
The various areas that Barbara Weber examines in her Business process study include Modeling language and Data mining. Her Human–computer interaction research also works with subjects such as
The scientist’s investigation covers issues in Process modeling, Business process, Data science, Quality and Empirical research. Her Process modeling research integrates issues from Artifact, Modeling language and Eye tracking. Her Business process management study in the realm of Business process connects with subjects such as Point.
Her Business process management research incorporates themes from Field, Software system, Blockchain and Knowledge management. Her biological study spans a wide range of topics, including Business Process Model and Notation, Autonomous agent, The Internet and Cognition. Her Quality research is multidisciplinary, incorporating elements of Computation, Data mining and Sequence labeling.
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.
Process Mining Manifesto
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
(2012)
Change patterns and change support features - Enhancing flexibility in process-aware information systems
Barbara Weber;Manfred Reichert;Stefanie Rinderle-Ma.
(2008)
Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies
Manfred Reichert;Barbara Weber.
(2012)
Blockchains for Business Process Management - Challenges and Opportunities
Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke.
(2018)
Enabling Flexibility in Process-Aware Information Systems
Manfred Reichert;Barbara Weber.
(2012)
Survey paper: Refactoring large process model repositories
Barbara Weber;Manfred Reichert;Jan Mendling;Hajo A. Reijers.
(2011)
Change patterns and change support features in process-aware information systems
Barbara Weber;Stefanie Rinderle;Manfred Reichert.
(2007)
Supporting Flexible Processes through Recommendations Based on History
Helen Schonenberg;Barbara Weber;Boudewijn Dongen;Wil Aalst.
(2008)
Declarative versus imperative process modeling languages : the issue of understandability
Dirk Fahland;Daniel Lübke;Jan Mendling;Hajo A. Reijers.
(2009)
Beyond rigidity - dynamic process lifecycle support: A Survey on dynamic changes in process-aware information systems
Barbara Weber;Shazia Wasim Sadiq;Manfred Reichert.
(2009)
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