Systems engineers across NASA needed a single place to go to find various assets to support them in their work, and to help ensure that their missions are successful. These assets ranged from templates and resources to various requirements and processes, as well as points of contact, etc. Hence, there was a need for a central NASA Systems Engineering Body of Knowledge (SEBoK) to store and provide access to systems engineering resources of all types. The types of assets that are available in the NASA SEBoK fall into two broad categories, namely assets appropriate for a typical systems engineering body of knowledge (i.e., concepts, terms and activities that make up the SE professional domain), and assets for a typical Systems Engineering Asset Library (i.e., work aids, tools and methods to support system development). The recently developed NASA SEBoK has begun to capture the sum of knowledge within the profession of systems engineering at NASA. As an aid to the NASA SE Community, the NASA SEBoK has four ways to search for and view its assets, namely Type View (default), Life-Cycle View, Process View and Role View. This paper describes the approach to designing and developing the NASA SEBoK. It also summarizes the various types of assets and views, and discusses the processes for dispositioning assets, assigning metadata and populating the NASA SEBoK.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Developing the NASA Systems Engineering Body of Knowledge


    Contributors:


    Publication date :

    2012-03-01


    Size :

    1583638 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    NASA systems engineering handbook

    USA, National Aeronautics and Space Administration | TIBKAT | 2016

    Free access


    Developing a Knowledge Base for NASA Earth Science and Hydrologic Applications

    Weigel, Amanda / Gatlin, Patrick / Ramachandran, Rahul et al. | NTRS | 2017