Prediction Models for BPMN Usability and Maintainability
Authors:
- Elvira RolonERElvira Rolon
- Laura SanchezLSLaura Sanchez
- Félix GarciaFGFélix Garcia
- Francisco RuizFRFrancisco Ruiz
- Mario PiattiniMario Piattini
- Danilo CaivanoDCDanilo Caivano
- Giuseppe VisaggioGVGiuseppe Visaggio
- 1 July 2009
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 23781963,p. 383-390
Abstract
The measurement of a business process in the early stages of the lifecycle, such as the design and modelling stages, could reduce costs and effort in future maintenance tasks. In this paper we present a set of measures for assessing the structural complexity of business processes models at a conceptual level. The aim is to obtain useful information about process maintenance and to estimate the quality of the process model in the early stages. Empirical validation of the measures was carried out along with a linear regression analysis aimed at estimating process model quality in terms of modifiability and understandability.Keywords
This publication has 18 references indexed in Scilit:
- New Quality Metrics for Evaluating Process Models2009
- On a Quest for Good Process Models: The Cross-Connectivity Metric2008
- What Makes Process Models Understandable?2007
- Extending the EPC with performance measures2007
- A framework for measuring business processes based on GQM2004
- Resource Estimation in Software Engineering2002
- Empirical studies of software engineering2000
- Property-based software engineering measurementIEEE Transactions on Software Engineering, 1996
- A note on a general definition of the coefficient of determinationBiometrika, 1991
- On the Kolmogorov-Smirnov Test for Normality with Mean and Variance UnknownJournal of the American Statistical Association, 1967