Titlebook: Business Process Management; 10th International C Alistair Barros,Avigdor Gal,Ekkart Kindler Conference proceedings 2012 Springer-Verlag Be

investigate

Ambiguous

Y. P. S. Bajaj,M. Furmanowa,O. Olszowskay attractive to investors. However, to fully exploit this potential we still have to develop crowd-management frameworks capable of supporting rich collaboration models, smart task division and virtual careers. An important step in this direction is the development of models of rewarding/incentivizi

Aggressive

Dealing

G. Hunault,P. Desmarest,J. Du Manoirf Place-based Non-Interference, the novelty is that Petri net reachability is employed to detect places in which information leaks occur. We show that the approach is sound and complete, and present its implementation, the Anica tool. Anica employs state of the art model-checking algorithms to test

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Vsd168

Medicinal and Aromatic Plants II and software. Cloud platforms are being increasingly used for the deployment and execution of service-based business processes (SBPs). Nevertheless, the provisioning of elastic infrastructures and/or platforms is not sufficient to provide users with elasticity at the level of SBPs. Therefore, there

Explosive

G. Hunault,P. Desmarest,J. Du Manoirffort estimation. In the past, the focus on artifact dependencies has been at the design and code level rather than at the requirements level. This is due to the difficulties in identifying dependencies in a text-based requirements specification. We observed that difficulties reside in the disconnec

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Hectic

H. L. Sreenath,K. S. Jagadishchandrainition of PPIs should not only be unambiguous, complete, and understandable to non–technical stakeholders, but also traceable to business processes and verifiable by means of automated analysis. In practice, PPIs are defined either informally in natural language, with its well–known problems, or at

Interregnum

A. Cavallini,L. Natali,I. Castorena Sanchez discovered from event logs and conformance checking techniques can be used to detect and diagnose differences between observed and modeled behavior. Existing process mining techniques can only uncover these differences, but the actual repair of the model is left to the user and is not supported. In