DOQS REQUIREMENTS ENGINEERING SERIES
Quality-Based Model Integration
Quality-Based Model Integration improves the verification process of assuring that all analysis models can be properly integrated into a single whole. Even a small project is likely to develop dozens, if not hundreds, of analysis process and data models in support of its requirements. Even if every model is correct, there still is no assurance that all of the models will fit together properly. Proper integration requires active steps on the part of the analyst to assure project success.
This seminar explains how to define, verify, and validate integrated models for information systems:
This seminar supports the broadest range of analysis integration activities. Such integration represents a major risk mitigation investment on the part of the project. Where analysis models are well integrated, this investment is minimal. Where integration is weak, these techniques become costly; but still far less costly than allowing integration defects to leak into design.
All too often, projects create extensive
models in support of analysis projects only
to learn later that some of those models
actually contradict each other. Many
projects find the final push to complete
analysis so exhausting, in terms of energy
and budgets, that no time is allocated or
spent trying to assure that the models
These techniques are illustrated in a reactive, audit mode in order to maximize usage across the broadest range of projects. However, for projects supporting all analysis modeling activities, this seminar teaches techniques that should be applied proactively across all modeling activities in order to prevent the defects that result in downstream project failures.
Table of Contents
Quality-Based Model Integration teaches specific skills and techniques needed to detect, document, and correct inter-model deficiencies prior to turnover to design. The approaches have been defined in such a way as to be usable on a project, even if that project hasn’t been responsible for producing the analysis models to be integrated, such as with purchased software acquisitions, or project outsourcing.
The most significant defects on all application projects occur during design, with most remaining undetected until late in implementation. The cost to most information systems organizations is unknown and unknowable. Addressing these integration issues prior to design transition assures that the bulk of these costs can be avoided.
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