@article{KunzeWeidlichWeske2015,
  author    = {Kunze, Matthias and Weidlich, Matthias and Weske, Mathias},
  title     = {Querying process models by behavior inclusion},
  series = {Software and systems modeling},
  volume    = {14},
  journal   = {Software and systems modeling},
  number    = {3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1619-1366},
  doi       = {10.1007/s10270-013-0389-6},
  pages     = {1105 -- 1125},
  year      = {2015},
  abstract  = {Business processes are vital to managing organizations as they sustain a company's competitiveness. Consequently, these organizations maintain collections of hundreds or thousands of process models for streamlining working procedures and facilitating process implementation. Yet, the management of large process model collections requires effective searching capabilities. Recent research focused on similarity search of process models, but querying process models is still a largely open topic. This article presents an approach to querying process models that takes a process example as input and discovers all models that allow replaying the behavior of the query. To this end, we provide a notion of behavioral inclusion that is based on trace semantics and abstraction. Additional to deciding a match, a closeness score is provided that describes how well the behavior of the query is represented in the model and can be used for ranking. The article introduces the formal foundations of the approach and shows how they are applied to querying large process model collections. An experimental evaluation has been conducted that confirms the suitability of the solution as well as its applicability and scalability in practice.},
  language  = {en}
}
@book{KunzeWeske2016,
  author    = {Kunze, Matthias and Weske, Mathias},
  title     = {Behavioural Models},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-44958-6},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {279},
  year      = {2016},
  abstract  = {This textbook introduces the basis for modelling and analysing discrete dynamic systems, such as computer programmes, soft- and hardware systems, and business processes. The underlying concepts are introduced and concrete modelling techniques are described, such as finite automata, state machines, and Petri nets. The concepts are related to concrete application scenarios, among which business processes play a prominent role. The book consists of three parts, the first of which addresses the foundations of behavioural modelling. After a general introduction to modelling, it introduces transition systems as a basic formalism for representing the behaviour of discrete dynamic systems. This section also discusses causality, a fundamental concept for modelling and reasoning about behaviour. In turn, Part II forms the heart of the book and is devoted to models of behaviour. It details both sequential and concurrent systems and introduces finite automata, state machines and several different types of Petri nets. One chapter is especially devoted to business process models, workflow patterns and BPMN, the industry standard for modelling business processes. Lastly, Part III investigates how the behaviour of systems can be analysed. To this end, it introduces readers to the concept of state spaces. Further chapters cover the comparison of behaviour and the formal analysis and verification of behavioural models. The book was written for students of computer science and software engineering, as well as for programmers and system analysts interested in the behaviour of the systems they work on. It takes readers on a journey from the fundamentals of behavioural modelling to advanced techniques for modelling and analysing sequential and concurrent systems, and thus provides them a deep understanding of the concepts and techniques introduced and how they can be applied to concrete application scenarios.},
  language  = {en}
}
@phdthesis{Kunze2013,
  author    = {Kunze, Matthias},
  title     = {Searching business process models by example},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-68844},
  school      = {Universit{\"a}t Potsdam},
  year      = {2013},
  abstract  = {Business processes are fundamental to the operations of a company. Each product manufactured and every service provided is the result of a series of actions that constitute a business process. Business process management is an organizational principle that makes the processes of a company explicit and offers capabilities to implement procedures, control their execution, analyze their performance, and improve them. Therefore, business processes are documented as process models that capture these actions and their execution ordering, and make them accessible to stakeholders. As these models are an essential knowledge asset, they need to be managed effectively. In particular, the discovery and reuse of existing knowledge becomes challenging in the light of companies maintaining hundreds and thousands of process models. In practice, searching process models has been solved only superficially by means of free-text search of process names and their descriptions. Scientific contributions are limited in their scope, as they either present measures for process similarity or elaborate on query languages to search for particular aspects. However, they fall short in addressing efficient search, the presentation of search results, and the support to reuse discovered models. This thesis presents a novel search method, where a query is expressed by an exemplary business process model that describes the behavior of a possible answer. This method builds upon a formal framework that captures and compares the behavior of process models by the execution ordering of actions. The framework contributes a conceptual notion of behavioral distance that quantifies commonalities and differences of a pair of process models, and enables process model search. Based on behavioral distances, a set of measures is proposed that evaluate the quality of a particular search result to guide the user in assessing the returned matches. A projection of behavioral aspects to a process model enables highlighting relevant fragments that led to a match and facilitates its reuse. The thesis further elaborates on two search techniques that provide concrete behavioral distance functions as an instantiation of the formal framework. Querying enables search with a notion of behavioral inclusion with regard to the query. In contrast, similarity search obtains process models that are similar to a query, even if the query is not precisely matched. For both techniques, indexes are presented that enable efficient search. Methods to evaluate the quality and performance of process model search are introduced and applied to the techniques of this thesis. They show good results with regard to human assessment and scalability in a practical setting.},
  language  = {en}
}
@article{HilkerSchwachtjeBaieretal.2016,
  author    = {Hilker, Monika and Schwachtje, Jens and Baier, Margarete and Balazadeh, Salma and B{\"a}urle, Isabel and Geiselhardt, Sven and Hincha, Dirk K. and Kunze, Reinhard and Mueller-Roeber, Bernd and Rillig, Matthias G. and Rolff, Jens and Schm{\"u}lling, Thomas and Steppuhn, Anke and van Dongen, Joost and Whitcomb, Sarah J. and Wurst, Susanne and Zuther, Ellen and Kopka, Joachim},
  title     = {Priming and memory of stress responses in organisms lacking a nervous system},
  series = {Biological reviews},
  volume    = {91},
  journal   = {Biological reviews},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1464-7931},
  doi       = {10.1111/brv.12215},
  pages     = {1118 -- 1133},
  year      = {2016},
  language  = {en}
}