Maintaining Shared Workspaces Consistency during Software Development

Hala Skaf 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 : The development of large software is always done by teams of people working together and struggling to produce quality software within their budget. Each person in these teams generally knows his job and wants to do it, without being bothered by other people. However, when people work towards a common goal they have to exchange data and create dependencies between each other regarding these data. If these people have to follow a process, cooperating and synchronizing with co-workers and trying to reach one's own goal becomes too difficult to manage. This may leads to frustration, lower productivity and reluctancy to follow the predefined process. This is why some support is needed to avoid common mistakes that occur when people exchange data. In this paper, a hybrid approach to support cooperation is presented. The originality of this approach is the ability to enforce general properties on cooperative interactions while using the semantic of applications to fit particular situations or requirements. This paper gives a brief idea about the general enforced properties on activity interactions. It describes in detail the semantic rules that control activity results, the impacts of the cooperation on these rules and how both of dimensions interact.
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Article dans une revue
International Journal of Software Engineering and Knowledge Engineering, World Scientific Publishing, 1999, Special Issue: Knowledge Discovery from Empirical Software Engineering Data, 9 (5), pp.623-642. 〈10.1142/S0218194099000334〉
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Soumis le : mardi 26 septembre 2006 - 08:38:43
Dernière modification le : dimanche 30 septembre 2018 - 10:50:07

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Hala Skaf, François Charoy, Claude Godart. Maintaining Shared Workspaces Consistency during Software Development. International Journal of Software Engineering and Knowledge Engineering, World Scientific Publishing, 1999, Special Issue: Knowledge Discovery from Empirical Software Engineering Data, 9 (5), pp.623-642. 〈10.1142/S0218194099000334〉. 〈inria-00098802〉

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