Software processes are software too
ICSE '87 Proceedings of the 9th international conference on Software Engineering
Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Software complexity: measures and methods
Software complexity: measures and methods
Encyclopedia of software engineering
Encyclopedia of software engineering
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Software Engineering Economics
Software Engineering Economics
Modern Information Retrieval
Software Measurement: A Necessary Scientific Basis
IEEE Transactions on Software Engineering
Guidelines of Business Process Modeling
Business Process Management, Models, Techniques, and Empirical Studies
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Applying design-metrics to object-oriented frameworks
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Conducting Realistic Experiments in Software Engineering
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Evaluating the Process Control-Flow Complexity Measure
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Evaluation measures for business process models
Proceedings of the 2006 ACM symposium on Applied computing
Process control-flow complexity metric: An empirical validation
SCC '06 Proceedings of the IEEE International Conference on Services Computing
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
IEEE Transactions on Software Engineering
Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness
Seven process modeling guidelines (7PMG)
Information and Software Technology
Finding software metrics threshold values using ROC curves
Journal of Software Maintenance and Evolution: Research and Practice
Advanced Data Mining Techniques
Advanced Data Mining Techniques
IEEE Transactions on Software Engineering
On the use of weighted sums in the definition of measures
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics
Can we evaluate the quality of software engineering experiments?
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Deriving metric thresholds from benchmark data
ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
Quality assessment of business process models based on thresholds
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Towards thresholds of control flow complexity measures for BPMN models
Proceedings of the 2011 ACM Symposium on Applied Computing
Calculation and optimization of thresholds for sets of software metrics
Empirical Software Engineering
Identifying thresholds for object-oriented software metrics
Journal of Systems and Software
A discourse on complexity of process models
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
A Study Into the Factors That Influence the Understandability of Business Process Models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Context: Quality assurance of business process models has been recognized as an important factor for modeling success at an enterprise level. Since quality of models might be subject to different interpretations, it should be addressed in the most objective way, by the application of measures. That said, however, assessment of measurement results is not a straightforward task: it requires the identification of relevant threshold values, which are able to distinguish different levels of process model quality. Objective: Since there is no consensual technique for obtaining these values, this paper proposes the definition of thresholds for gateway complexity measures based on the application of statistical techniques on empirical data. Method: To this end, we conducted a controlled experiment that evaluates quality characteristics of understandability and modifiability of process models in two different runs. The thresholds obtained were validated in a replication of the experiment. Results: The thresholds for gateway complexity measures are instrumental as guidelines for novice modelers. A tool for supporting business process model measurement and improvement is described, based on the automatic application of measurement, and assessment as well as derivation of advice about how to improve the quality of the model. Conclusion: It is concluded that thresholds classified business process models in the specific level of understandability and modifiability, so these thresholds were good and useful for decision-making.