Representing and reasoning with traceability in model life cycle management

Balasubramaniam Ramesh

Annals of Operations Research, 1997, vol. 75, issue 0, 123-145

Abstract: Decision making using models is an iterative process involving the modification, elaboration and refinement of models. Operational scenarios, requirements and assumptions underlying models often evolve over time, necessitating reformulation. Further, many decisions and trade-offs are made that affect the model components. Under these circumstances, it is essential to provide traceability of models to the various components that affect their creation and maintenance. We present a framework for developing model traceability. We describe a prototype decision support system that supports the representation of and reasoning with traceability information. Intelligent decision support for various stakeholders in model development and management is illustrated in the areas of knowledge acquisition and navigation, knowledge access, model evolution, design review, and knowledge integration. Copyright Kluwer Academic Publishers 1997

Date: 1997
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018951227810 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:75:y:1997:i:0:p:123-145:10.1023/a:1018951227810

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018951227810

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().