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
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