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Metrics For Process Models Empirical Foundations Of Verification Error Prediction And Guidelines For Correctness 2008 Edition at Meripustak

Metrics For Process Models Empirical Foundations Of Verification Error Prediction And Guidelines For Correctness 2008 Edition

Books from same Author: Jan Mendling

Books from same Publisher: Springer

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    • General Information  
    Author(s)Jan Mendling
    PublisherSpringer
    ISBN9783540892236
    Pages194
    BindingPaperback
    LanguageEnglish
    Publish YearNovember 2008

    Description

    Springer Metrics For Process Models Empirical Foundations Of Verification Error Prediction And Guidelines For Correctness 2008 Edition by Jan Mendling

    Business process modeling plays an important role in the management of business processes. As valuable design 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 process 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. Table of contents : Business Process Management.- Event-Driven Process Chains (EPC).- Verification of EPC Soundness.- Metrics for Business Process Models.- Validation of Metrics as Error Predictors.- Implications for Business Process Modeling.