Requirements elicitation, writing, analysis, and modeling by IIBA Endorsed Education Provider.

Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness (Lecture Notes in Business Information Processing)

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Jan Mendling

November 2008, Springer, Paperback, 193 pages, ISBN 3540892230


How to Elicit (Gather), Write, and Analyze Requirements
How to Model, Analyze, and Improve Business Processes
How to Model, Analyze, and Improve Business Data
All About Use Cases
How to Test an Application using Business Requirements
Writing Effective Business Requirement Statements
How to Discover Business and Stakeholder Requirements
How to Write Effective Requirements
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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.