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Identifying Variability in Process Performance Indicators

Opened Access Identifying Variability in Process Performance Indicators

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Autor: Estrada Torres, Bedilia
Río Ortega, Adela del
Resinas Arias de Reyna, Manuel
Ruiz Cortés, Antonio
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2016
Publicado en: BPM Forum 2016: International Conference on Business Process Management (2016), p 91-107
ISBN/ISSN: 978-3-319-45467-2
Tipo de documento: Ponencia
Resumen: The performance perspective of business processes is concerned with the definition of performance requirements usually specified as a set of Process Performance Indicators (PPIs). Like other business process perspectives such as control-flow or data, there are cases in which PPIs are subject to variability. However, although the modelling of business process variability (BPV) has evolved significantly, there are very few contributions addressing the variability in the performance perspective of business processes. Modelling PPI variants with tools and techniques non-suitable for variability may generate redundant models, thus making it difficult its maintenance and future adaptations, also increasing possibility of errors in its managing. In this paper we present different cases of PPI variability detected as result of the analysis of several processes where BPV is present. Based on an existent metamodel used for defining PPIs over BPs, we propose its formal extension tha...
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Cita: Estrada Torres, B., Río Ortega, A.d., Resinas Arias de Reyna, M. y Ruiz Cortés, A. (2016). Identifying Variability in Process Performance Indicators. En BPM Forum 2016: International Conference on Business Process Management (91-107), Rio de Janeiro, Brazil: Springer.
Tamaño: 1.299Mb
Formato: PDF

URI: http://hdl.handle.net/11441/65661

DOI: 10.1007/978-3-319-45468-9_6

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