Business processes contextualisation via context analysis

This source preferred by Raian Ali

Authors: de la Vara, J.L., Ali, R., Dalpiaz, F., Sanchez, J. and Giorgini, P.

Start date: 1 November 2010

Publisher: Springer

ISBN: 9783642163722

This data was imported from DBLP:

Authors: Vara, J.L.D.L., Ali, R., Dalpiaz, F., Sánchez, J. and Giorgini, P.

Editors: Parsons, J., Saeki, M., Shoval, P., Woo, C.C. and Wand, Y.

Journal: ER

Volume: 6412

Pages: 471-476

Publisher: Springer

ISBN: 978-3-642-16372-2

This data was imported from Scopus:

Authors: De La Vara, J.L., Ali, R., Dalpiaz, F., Sánchez, J. and Giorgini, P.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 6412 LNCS

Pages: 471-476

eISSN: 1611-3349

ISSN: 0302-9743

DOI: 10.1007/978-3-642-16373-9_37

Context-awareness has emerged as a new perspective for business process modelling. Even though some works have studied it, many challenges have not been addressed yet. There is a clear need for approaches that (i) facilitate the identification of the context properties that influence a business process and (ii) provide guidance for correct modelling of contextualised business processes. This paper addresses this need by defining an approach for business process contextualisation via context analysis, a technique that supports reasoning about context and discovery of its relevant properties. The approach facilitates adequate specification of context variants and of business process execution for them. As a result, we obtain business processes that fit their context and are correct. © 2010 Springer-Verlag.

The data on this page was last updated at 04:52 on May 25, 2018.