Inhalt

Komplettes Heft

1. Editorial
2. Aus der EMISA-Fachgruppe
   
   1. Bericht zurm 36. EMISA-Fachgruppentreffen - 6th International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA 2016)
   2. Call for Papers EDOC 2016 - 5-9 September 2016, Wien, Österreich
   3. Aufruf zur Einreichung 2. Workshop "Requirements Engineering & Business Process Management: Konkurrenz oder Symbiose?" (REBPM) auf der Fachtagung "Modellierung 2016"
   4. Sankt Augustiner Jubiläumstagung: Controlling und Leadership, am 11. März 2016 an der Hochschule Bonn-Rhein-Sieg
   5. Call for Papers and Announcement: Petri Nets 2016, 37th International Conference on Applications and Theory of Petri Nets and Concurrency, Torun, Poland, June 19-24, 2016
3. Fachartikel
   1. Jan Recker, Jan Mendling: Recommendations from Analyzing the State-of-the-Art of Business Process Management Research
4. Für Sie gesurft
   
5. Buchbesprechung
6. Extended Abstracts
   1. Jan Mendling, Henrik Leopold, Fabian Pittke: 25 Challenges of Semantic Process Modeling (Extended Abstract)
   2. Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling: Efficient Discovery of Target-Branched Declare Constraints (Extended Abstract)
   3. Claudio Di Ciccio, Fabrizio Maria Maggi, Marco Montali, Jan Mendling: Ensuring Model Consistency in Declarative Process Discovery (Extended Abstract)
   4. Wahid Fdhila, Conrad Indiono, Stefanie Rinderle-Ma, Manfred Reichert: Dealing with Change in Process Choreographies: Design and Implementation of Propagation Algorithms (Extended Abstract)
   5. Andreas Lanz, Manfred Reichert, Barabara Weber: Process TIme Patterns: A Formal Foundation (Extended Abstract)
   6. Henrik Leopold, Fabian Pittke, Jan Mendling: Automatic Service Derivation from Business Process Model Repositories via Semantic Technologies (Extended Abstract)
   7. Fabian Pittke: Linguistic Refactoring of Business Process Models (Extended Abstract)
   8. Fabian Pittke, Henrik Leopold, Jan Mendling: Automatic Detection and Resolution of Lexical Ambiguity in Process Models (Extended Abstract)