Titlebook: Metrics for Process Models; Empirical Foundation Jan Mendling Book 2008 Springer-Verlag Berlin Heidelberg 2008 Business Process Modeling.SA

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Validation of Metrics as Error Predictors,ction?5.1, we provide an overview of how the analysis data is generated. Section?5.2 describes the sample of EPCs from practice that we use for the analysis. Here we discuss a disaggregation by the EPC model group and by error as well as a correlation analysis between metrics and error. Based on thi

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fahrung erprobtDas Lehrbuch beschreibt die zentralen Rechtsgebiete Zivilrecht, ?ffentliches Recht, Europarecht, Staats- und Verwaltungsrecht, Umweltrecht sowie Strafrecht allgemeinverst?ndlich und kompakt. Dadurch erh?lt der Leser einen überblick über relevante Rechtsgebiete bei der Ingenieurst?tigk

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1865-1348 ign artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process...In his book Jan Mendling develops a framework for the detection of formal errors in business proc

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Implications for Business Process Modeling,plications of this research. Section?6.1 presents a set of seven process modeling guidelines that help the modeler to come up with less error-prone and more understandable process models. Section?6.2 discusses more general implications for business process modeling. Section?6.3 identifies some areas where future research is required.

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Book 2008subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process...In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error prob

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Validation of Metrics as Error Predictors,s sample, we calculate a logistic regression model for predicting error probability with the metrics as input variables in Section?5.3. In Section?5.4, we then test the regression function for an independent sample of EPC models from textbooks as a cross-validation. Section?5.5 summarizes the findings.

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1865-1348 ess models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness. .978-3-540-89223-6978-3-540-89224-3Series ISSN 1865-1348 Series E-ISSN 1865-1356