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INCOSE Membership Meeting

Time & Location:

Tuesday, April 18, 2023  6:30 PM – 8:00 PM by WebEx

Agenda: 

6:30-7:15 PM: Invited Speaker

7:15-7:30 PM: Q&A and Open Discussion

7:30-8:00 PM: Introductions of Attendees and Chapter Business

Title: 
 

A Development Procedure for Discovering Uncertain Requirements

Abstract:   

Uncertain requirements often bring severe negative impacts to system development. Most of the current research focuses on description techniques for uncertainties in requirements and techniques in reducing the uncertainties. However, it is important, in the first place, to identify them at early stages, in order to make a system architecture design sustainable. This paper, instead of reducing uncertainties, goes in the other direction, for the first time that we are aware of, to develop a procedure for discovering as many potential future requirement changes as possible. The results can be fed into the Mission/Requirement Evaluation Space (MRES), a structure that can further be used for trade studies such as architecture optimizations. We will describe the needed tools, and the method using manual and semi-automatic procedures with two use cases, a software and an aircraft example, to demonstrate their usefulness.

Bio:  

 

Haifeng Zhu, Ph.D., is currently with Boeing.  He has extensive experience in multiple sectors in the manufacturing industry, and led or contributed to many projects.  Haifeng is interested in advancing system knowledge and technologies for humanity.  It is important to promote awareness of technologies' different effects, and use technologies wisely to help human lives and society. He is also an advocate of engineer education, including promoting the awareness of importance of education and course training to entry level engineers and the correlations between quality education and the quality outcomes from work.  He is also a warm-hearted volunteer to certain charity events and organizations, sometimes helping those using technologies. He devoted some of his time in helping cross-organizational public domain knowledge sharing and stimulating possible collaborations to better serve the local community.

Haifeng Zhu.jpg
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