COO-flow: a process technology to support cooperative processes

Daniela Grigori 1 François Charoy 1 Claude Godart 1
1 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a process management technology for the coordination of creative and large scale distributed processes. Our approach is the fruit of usage analysis in domains like Software Development, Architecture/Engineering/Construction, and e-Learning processes. The basic conclusions of these experiments are the following: 1) cooperative processes are described in the same way than production processes are, but these descriptions are interpreted in a different way depending on the nature of process, 2) the interpretation of process description depends mainly on the required flexibility of control flow and of data flow, and on the relationship between them, 3) the management of intermediate results is a central feature for supporting the cooperation inherent to these processes. COO-flow is a process technology that results from these studies. It is based on two complementing contributions: anticipation that allows succeeding activities to cooperate, and COO-transactions that allows parallel activities to cooperate. This paper introduces COO-flow characteristics, gives a (partial) formalization and briefly discusses its Web implementation. |
Type de document :
Article dans une revue
International Journal of Software Engineering and Knowledge Engineering, World Scientific Publishing, 2004, Special Issue: Best Papers from SEKE 2003, 14 (1), pp.61-78
Liste complète des métadonnées

https://hal.inria.fr/inria-00099963
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:12:57
Dernière modification le : dimanche 30 septembre 2018 - 10:50:07

Identifiants

  • HAL Id : inria-00099963, version 1

Collections

Citation

Daniela Grigori, François Charoy, Claude Godart. COO-flow: a process technology to support cooperative processes. International Journal of Software Engineering and Knowledge Engineering, World Scientific Publishing, 2004, Special Issue: Best Papers from SEKE 2003, 14 (1), pp.61-78. 〈inria-00099963〉

Partager

Métriques

Consultations de la notice

124