DocumentCode :
3063244
Title :
Prediction Models for BPMN Usability and Maintainability
Author :
Rolón, Elvira ; Sánchez, Laura ; García, Félix ; Ruiz, Francisco ; Piattini, Mario ; Caivano, Danilo ; Visaggio, Giuseppe
Author_Institution :
Univ. Centre Tampico-Madero S/N, Autonomous Univ. of Tamaulipas, Tampico, Mexico
fYear :
2009
fDate :
20-23 July 2009
Firstpage :
383
Lastpage :
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 :
business process re-engineering; regression analysis; software management; BPMN prediction models; business process measurement; business processes structural complexity; linear regression analysis; Costs; Crisis management; Engineering management; Linear regression; Predictive models; Reliability engineering; Risk management; Software measurement; Time measurement; Usability; business process models; measurement; regression model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3755-9
Type :
conf
DOI :
10.1109/CEC.2009.53
Filename :
5210770
Link To Document :
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