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Taxonomy-Based Risk Identification

Authors: Clay F. Walker; F. C. Ulrich; Ira Monarch; Suresh L. Konda; Marvin J. Carr;

Taxonomy-Based Risk Identification

Abstract

Abstract : This report describes a method for facilitating the systematic and repeatable identification of risks associated with the development of a software-dependent project. This method, derived from published literature and previous experience in developing software, was tested in active government- funded defense and civilian software development projects for both its usefulness and for improving the method itself. Results of the field tests encouraged the claim that the described method is useful, usable, and efficient. The report concludes with some macro-level lessons learned from the field tests and brief overview of future work in establishing risk management on a firm footing in software development projects.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
118
Top 10%
Top 1%
Top 10%
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