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Richard P. Kendall
Douglass E. Post
Jeffrey C. Carver
Dale B. Henderson
David A. Fisher
Technical Note
CMU/SEI-2006-TN-039
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Because the development of large-scale scientific/engineering
application codes is an often difficult, complicated, and sometimes uncertain
process, success depends on identifying and managing risk. One of the drivers
of the evolution of software engineering, as a discipline, has been the desire
to identify reliable, quantifiable ways to manage software development risks.
The taxonomy that follows represents an attempt to organize the sources of
software development risk for scientific/engineering applications around three
principal aspects of the software development activity: the software
development cycle, the development environment, and the programmatic
environment. These taxonomic classes are divided into elements and each
element is further characterized by its attributes.
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Additional Author Publications |
| Richard P. Kendall |
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| Douglass E. Post |
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| Jeffrey C. Carver |
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| Dale B. Henderson |
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| David A. Fisher |
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