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9.2.1 RELAAy — A Tool to Guide HSI Requirements
Author(s) -
Colombi John M.,
Hardman Nicholas
Publication year - 2010
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2010.tb01129.x
Subject(s) - computer science , set (abstract data type) , focus (optics) , function (biology) , human error , systems engineering , data mining , artificial intelligence , engineering , reliability engineering , physics , evolutionary biology , optics , biology , programming language
Archives of Air Force mishap investigation reports provide a large data set of documented system failures. In this paper, we present a tool that analyzes human‐related errors in these mishaps and quantitatively predicts focus areas for new system development. Even new systems have similarities, either in structure or function, to legacy systems. Knowing what design induced errors have plagued past human‐machine interactions can guide new Human Systems Integration (HSI) requirements generation. This is accomplished using the Human Factors Analysis and Classification System (HFACS) as the underlying data. Our tool, with a novel method of using the entire mishap data set over the last five years is demonstrated through its application for a next generation unmanned aerial system (UAS). Lastly, the HFACS data is mapped to the domains of HSI for program office consumption.