Prozessmodellierung mit ARIS®

Seidlmeier, Heinrich

doi:10.1007/978-3-322-96871-5

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Logistic Regression Validation1

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Cited by 24 publications

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“…From this book we includes 27 EPC reference models in the holdout sample. -Seidlmeier [26]. This book is an introduction to the ARIS framework.…”

Section: Logistic Regression Validationmentioning

confidence: 99%

Understanding the Occurrence of Errors in Process Models Based on Metrics

Mendling

Neumann

Aalst

2007

Lecture Notes in Computer Science

107

142

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Abstract. Business process models play an important role for the management, design, and improvement of process organizations and processaware information systems. Despite the extensive application of process modeling in practice, there are hardly empirical results available on quality aspects of process models. This paper aims to advance the understanding of this matter by analyzing the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model. In particular, we discuss the theoretical connection between errors and metrics, and provide a comprehensive validation based on an extensive sample of EPC process models from practice. Furthermore, we investigate the capability of the metrics to predict errors in a second independent sample of models. The high explanatory power of the metrics has considerable consequences for the design of future modeling guidelines and modeling tools.

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“…From this book we includes 27 EPC reference models in the holdout sample. -Seidlmeier [26]. This book is an introduction to the ARIS framework.…”

Section: Logistic Regression Validationmentioning

confidence: 99%