Predicting change propagation on different levels of granularity

An algorithmic view

Conference paper (2007)

Authors

Owolabi Ariyo University of Cambridge
R. Keller University of Cambridge
Claudia Eckert University of Cambridge
P.J. Clarkson University of Cambridge
Affiliation
External organisation
Change management Product modelling Product overview
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Published Date

2007

Language

English

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Affiliation

External organisation

Abstract

When using connectivity models to assess the potential impacts of component changes on other parts of a product, plausible inferences are readily assessed when such products are represented at the appropriate level of granularity to support specific queries. In this paper, we describe the development of a prediction algorithm, which enables coherent computations of the likelihoods of change propagating on several levels of detail of product description given component level change probabilities. The results show that a multilevel approach to change prediction supports an increased range of design queries beyond that achievable with a single level model. Such change prediction capability is useful when carrying out a comprehensive change impact assessment.