@book{MeyerSmirnovWeske2011,
  author    = {Meyer, Andreas and Smirnov, Sergey and Weske, Mathias},
  title     = {Data in business processes},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-144-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-53046},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {40},
  year      = {2011},
  abstract  = {Process and data are equally important for business process management. Process data is especially relevant in the context of automated business processes, process controlling, and representation of organizations' core assets. One can discover many process modeling languages, each having a specific set of data modeling capabilities and the level of data awareness. The level of data awareness and data modeling capabilities vary significantly from one language to another. This paper evaluates several process modeling languages with respect to the role of data. To find a common ground for comparison, we develop a framework, which systematically organizes process- and data-related aspects of the modeling languages elaborating on the data aspects. Once the framework is in place, we compare twelve process modeling languages against it. We generalize the results of the comparison and identify clusters of similar languages with respect to data awareness.},
  language  = {de}
}
@book{PufahlMeyerWeske2013,
  author    = {Pufahl, Luise and Meyer, Andreas and Weske, Mathias},
  title     = {Batch regions : process instance synchronization based on data},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-280-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69081},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {18},
  year      = {2013},
  abstract  = {Business process automation improves organizations' efficiency to perform work. In existing business process management systems, process instances run independently from each other. However, synchronizing instances carrying similar characteristics, i.e., sharing the same data, can reduce process execution costs. For example, if an online retailer receives two orders from one customer, there is a chance that they can be packed and shipped together to save shipment costs. In this paper, we use concepts from the database domain and introduce data views to business processes to identify instances which can be synchronized. Based on data views, we introduce the concept of batch regions for a context-aware instance synchronization over a set of connected activities. We also evaluate the concepts introduced in this paper with a case study comparing costs for normal and batch processing.},
  language  = {de}
}