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8.3.2 Risk Reduction Through Changing Success Criteria
Author(s) -
McKinney Dorothy
Publication year - 2000
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2000.tb00402.x
Subject(s) - evolvability , risk analysis (engineering) , computer science , cost reduction , product (mathematics) , process management , business , marketing , evolutionary biology , biology , geometry , mathematics
In the 1990's the big challenge was how to streamline processes to produce systems better, faster and cheaper. In this new decade, the big challenge looming before us is how to dynamically adjust the success criteria for a project to increase its chances for success. Dynamic adjustment of success criteria is one of the most cost‐effective ways to minimize project risk in the dimensions which are most critical to our customers and our companies, such as: cost, time‐to‐market, product features, system stability and evolvability. Precisely targeting system development processes for the level of acceptable risk, while using metrics effectively to ensure that results match intentions, is a challenge best met jointly by program managers and systems engineers. This paper describes this challenge, and offers some approaches for collaboration which might make both program management and system engineering jobs more doable, while improving chances of successful program completion.