Logo der Universität Wien

Predicting Change Propagation Impacts in Collaborative Business processes


During the life cycle of a Business-to-Business (B2B) collab- oration, companies may need to redesign or change parts of their service orchestrations. A change request proposed by one partner will, in most cases, result in changes to other partner orchestration. An accurate prediction of the behav- ior of a change request and an analysis of its impacts on the collaboration allows to avoid significant costs related to unsuccessful propagation, e.g. negotiation fail. This pa- per focuses on predicting the likelihood of a change request propagation as well as its ripple effects on the overall col- laboration. To estimate these values, the approach analyses the collaboration structure through a priori analysis. We will show how the prediction models can be specified and implemented within a proof-of-concept prototype. Discus- sion will be provided on visualization possibilities and model validation.

Grafik Top
Additional Information

Accepted for publication

Grafik Top
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings)
Event Title
The 29th ACM Symposium on Applied Computing (SAC) - Enterprise Engineering
Workflow Systems and Technology
Software Engineering
Theoretische Informatik
Event Location
Gyeongju, Korea
Event Type
Event Dates
March 24-28 , 2014
March 2014
Grafik Top
Contact us
Faculty of Computer Science
University of Vienna

Währinger Straße 29
A-1090 Vienna