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Auflistung nach Autor:in "Smirnov, Sergey"

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  • Zeitschriftenartikel
    Data in Business Processes.
    (EMISA Forum: Vol. 31, No. 3, 2011) Meyer, Andreas; Smirnov, Sergey; Weske, Mathias
  • Konferenzbeitrag
    On application of structural decomposition for process model abstraction
    (Business process, services – computing and intelligent service management, 2009) Polyvyanyy, Artem; Smirnov, Sergey; Weske, Mathias
    Real world business process models may consist of hundreds of elements and have sophisticated structure. Although there are tasks where such models are valuable and appreciated, in general complexity has a negative influence on model comprehension and analysis. Thus, means for managing the complexity of process models are needed. One approach is abstraction of business process models-creation of a process model which preserves the main features of the initial elaborate process model, but leaves out insignificant details. In this paper we study the structural aspects of process model abstraction and introduce an abstraction approach based on process structure trees (PST). The developed approach assures that the abstracted process model preserves the ordering constraints of the initial model. It surpasses pattern-based process model abstraction approaches, allowing to handle graph-structured process models of arbitrary structure. We also provide an evaluation of the proposed approach.
  • Zeitschriftenartikel
    Recognising Activity Labeling Styles in Business Process Models
    (Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 6, Nr. 1, 2011) Leopold, Henrik; Smirnov, Sergey; Mendling, Jan
    Quality assurance is a serious issue for large-scale process modelling initiatives. While formal control flow analysis has been extensively studied in prior research, there is little work on how the textual content of a process model and its activity labels can be systematically analysed. In this context, it is a major challenge to systematically identify and to consequently assure high label quality. As many large process model collections contain more than thousand models, each including several activity labels, there is a strong need for an automatic detection of labels that might be of bad quality. Recent research has shown that different grammatical styles correlate with potential ambiguity of a label. In this paper, we propose an algorithm for recognition of activity labeling styles. The developed algorithm exploits natural language processing techniques, e.g., part of speech tagging and analysis of the grammatical structure. We also study how ontologies, like WordNet, can support the solution. We conduct a thorough evaluation of the developed techniques utilising about 6,000 activity labels from the SAP Reference Model. The evaluation of this algorithm shows that spurious labels can be identified with a significant level of precision and recall. In this way, our approach can be used as a means of quality assurance for process repository management by listing bad quality labels, which a human modeler should correct.
  • Konferenzbeitrag
    Reducing complexity of large EPCs
    (Modellierung betrieblicher Informationssysteme (MobIS 2008), 2008) Polyvyanyy, Artem; Smirnov, Sergey; Weske, Mathias
    Business processes are an important instrument for understanding and improving how companies provide goods and services to customers. Therefore, many companies have documented their business processes well, often in the Event-driven Process Chains (EPC). Unfortunately, in many cases the resulting EPCs are rather complex, so that the overall process logic is hidden in low level process details. This paper proposes abstraction mechanisms for process models that aim to reduce their complexity, while keeping the overall process structure. We assume that functions are marked with efforts and splits are marked with probabilities. This information is used to separate important process parts from less important ones. Real world process models are used to validate the approach.