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Proceedings Paper

Requirements management lessons learned: fuzzy "most likely" versus clean shaven "not to exceed"
Author(s): Paul A. Lightsey
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Paper Abstract

Mission objectives often have a level of imprecision that lends itself to a fuzzy logic approach, even though the more traditional approach is to flow down bimodal pass/fail “not to exceed” type of requirements. Examples will be given for large astronomical telescope applications involving optical performance, active wave front and control, and radiometric/stray light controls demonstrating the pros and cons of the two contrasting strategies. This paper provides an overview of lessons learned on different programs and how that information can be used reduce the cost, schedule, and success of future missions.

Paper Details

Date Published: 9 September 2015
PDF: 8 pages
Proc. SPIE 9583, An Optical Believe It or Not: Key Lessons Learned IV, 95830B (9 September 2015); doi: 10.1117/12.2196564
Show Author Affiliations
Paul A. Lightsey, Ball Aerospace & Technologies Corp. (United States)

Published in SPIE Proceedings Vol. 9583:
An Optical Believe It or Not: Key Lessons Learned IV
Mark A. Kahan, Editor(s)

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