Premium
An empirical methodology for human integration in the SE technical processes
Author(s) -
Hardman Nicholas,
Colombi John
Publication year - 2012
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.20201
Subject(s) - computer science , schedule , systems engineering , empirical research , key (lock) , management science , interface (matter) , systems design , system integration , risk analysis (engineering) , operations research , engineering , software engineering , medicine , computer security , bubble , maximum bubble pressure method , parallel computing , operating system , philosophy , epistemology
This research examines quantitative methods to better integrate human considerations into early system design. Studies show that for human systems integration (HSI) concerns, systems engineers often rely on qualitative judgments or delay critical decisions until late in the system lifecycle; actions that have predictable cost, schedule, and performance consequences. Thus, empirical and quantifiable methods were pursued to improve the engineering of human HSI. These methods are mathematically rigorous, grounded in relevant theory, and apply human subjects data to critical systems development challenges. Their utility is demonstrated by application in support of three systems engineering activities: requirements elicitation, functional allocation, and user interface design. Together, they demonstrate a coherent approach to integrate human considerations into early system development—a key tenet of the INCOSE SE Handbook . © 2012 Wiley Periodicals, Inc. Syst Eng