Journal article
Thresholds for error probability measures of business process models
Jan Mendling, Laura Sanchez-Gonzalez, Felix Garcia, Marcello La Rosa
JOURNAL OF SYSTEMS AND SOFTWARE | ELSEVIER SCIENCE INC | Published : 2012
Abstract
The quality of conceptual business process models is highly relevant for the design of corresponding information systems. In particular, a precise measurement of model characteristics can be beneficial from a business perspective, helping to save costs thanks to early error detection. This is just as true from a software engineering point of view. In this latter case, models facilitate stakeholder communication and software system design. Research has investigated several proposals as regards measures for business process models, from a rather correlational perspective. This is helpful for understanding, for example size and complexity as general driving forces of error probability. Yet, des..
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Awarded by Fondo Europeo de Desarrollo Regional FEDER
Awarded by ALTAMIRA (Junta de Comunidades de Castilla-La Mancha, Fondo Social Europeo)
Awarded by ESFINGE (Ministerio de Educacion y Ciencia, Direccion General de Investigacion/Fondos Europeos de Desarrollo Regional (FEDER))
Awarded by INGENIOSO (Junta de Comunidades de Castilla La Mancha)
Awarded by ARC
Funding Acknowledgements
This work was partially funded by the following projects: PEGASO/MAGO (Ministerio de Ciencia e Innovacion MICINN and Fondo Europeo de Desarrollo Regional FEDER, TIN2009-13718-C02-01); ALTAMIRA (Junta de Comunidades de Castilla-La Mancha, Fondo Social Europeo, PII2I9-0106-2463); ESFINGE (Ministerio de Educacion y Ciencia, Direccion General de Investigacion/Fondos Europeos de Desarrollo Regional (FEDER), TIN2006-15175-C05-05); INGENIOSO (Junta de Comunidades de Castilla La Mancha, PEII11-0025-9533) and the ARC Linkage Project "Facilitating Business Process Standardisation and Reuse" (LP110100252). NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.