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100301s2009 gw | s |||| 0|eng d |
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|a 9783540892243
|9 978-3-540-89224-3
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|a 10.1007/978-3-540-89224-3
|2 doi
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|a QA76.76.A65
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|a UNH
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|a COM032000
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|a 005.7
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|a Mendling, Jan.
|e author.
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|a Metrics for Process Models
|b Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness /
|c by Jan Mendling.
|h [electronic resource] :
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2009.
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|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Business Information Processing,
|v 6
|x 1865-1348 ;
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| 520 |
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|a 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.
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|a Computer science.
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|a Software engineering.
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|a Information systems.
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|a Management information systems.
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|a Computer Science.
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|a Information Systems Applications (incl.Internet).
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|a Business Information Systems.
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|a Computer Appl. in Administrative Data Processing.
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|a Software Engineering.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540892236
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| 830 |
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|a Lecture Notes in Business Information Processing,
|v 6
|x 1865-1348 ;
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| 856 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89224-3
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|a ZDB-2-SCS
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|a Computer Science (Springer-11645)
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