Lecture Notes in Business Information Processing

Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness

By: Jan Mendling

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Paperback | 22 October 2008

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Business Applications Enterprise Software Business & Management Business Mathematics & Systems Management & Management Techniques Computer Programming & Software Development Software Engineering Computer Science Databases Data Capture & Analysis

Computer Hardware Maintenance & Repairs Information Retrieval Politics & Government Public Administration Information Technology General Issue

Business Process Management	p. 1
History of Business Process Management	p. 2
Definition of Business Process Management	p. 4
Definition of Business Process Modeling	p. 7
Business Process Modeling and Errors	p. 12
Summary	p. 14
Event-Driven Process Chains (EPC)	p. 17
EPC Notation	p. 18
EPC Syntax	p. 20
Approaches to EPC Syntax Formalization	p. 21
Formal Syntax Definition of Flat EPCs	p. 22
Formal Syntax Definition of Hierarchical EPCs	p. 26
Formal Syntax Definition of Standard EPCs	p. 28
EPC Syntax Extensions	p. 28
Control Flow Extensions	p. 29
Configurability Extensions	p. 30
EPC Semantics	p. 30
Informal Semantics as a Starting Point	p. 31
EPC Formalization Problems	p. 31
Approaches to EPC Semantics Formalization	p. 34
EPC Semantics Based on State and Context	p. 40
Reachability Graph of EPCs	p. 47
Tool Support for EPC Semantics	p. 50
EPCs and Other Process Modeling Languages	p. 55
Comparison Based on Routing Elements	p. 55
Comparison Based on Workflow Patterns	p. 56
Summary	p. 56
Verification of EPC Soundness	p. 59
Soundness of EPCs	p. 59
Correctness Criteria for Business Process Models	p. 59
Definition of EPC Soundness	p. 62
Reachability Graph Verification of Soundess	p. 64
Verification by Reduction Rules	p. 67
Related Work on Reduction Rules	p. 69
A Reduction Kit for EPCs	p. 72
A Reduction Algorithm for EPCs	p. 91
Reduction of the SAP Reference Model	p. 95
Summary	p. 102
Metrics for Business Process Models	p. 103
Measurement Theory	p. 104
Metrics in Network Analysis	p. 107
Metrics in the Software Engineering Process	p. 110
Related Work on Metrics for Process Models	p. 114
Definition of Metrics for Process Models	p. 117
Size	p. 118
Density	p. 119
Partitionability	p. 121
Connector Interplay	p. 125
Cyclicity	p. 127
Concurrency	p. 128
Calculating Metrics	p. 130
Summary	p. 133
Validation of Metrics as Error Predictors	p. 135
Analysis Data Generation	p. 135
The Sample of EPC Models	p. 136
How Do the Four Groups Differ?	p. 137
How Do Correct and Incorrect Models Differ?	p. 140
Correlation Analysis	p. 140
Logistic Regression	p. 143
Introductino to Logistic Regression	p. 143
Preparatory Analyses	p. 144
Multivariate Logistic Regression Model	p. 145
External Validation	p. 147
Summary	p. 150
Implications for Business Process Modeling	p. 151
Seven Process Modeling Guidelines (7PMG)	p. 152
Discussion	p. 153
Future Research	p. 154
Transition Relation of EPCs Based on State and Context	p. 155
Phase 1: Transition Relation for Dead Context Propagation	p. 155
Phase 2: Transition Relation for Wait Context Propagation	p. 156
Phase 3: Transition Relation for Negative State Propagation	p. 159
Phase 4: Transition Relation for Positive State Propagation	p. 160
References	p. 165
Index	p. 191
Table of Contents provided by Ingram. All Rights Reserved.

Lecture Notes in Business Information Processing

Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness

At a Glance

Paperback

Shipping

How to return your order

Defective items

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