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Extending Systems Architecting for H...

Orellana, Douglas W.

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Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering./
作者:	Orellana, Douglas W.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	210 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
標題:	Systems science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10749393
ISBN:	9780355883879

Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering.
Orellana, Douglas W.

Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 210 p.

Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.

Thesis (Ph.D.)--University of Southern California, 2018.

From early heliographs to the modern day alphabets, humans have communicated with one another by using a combination of symbols. As groups gather and began using the same symbols, formal languages were developed within cultural boundaries. What were common to each group and language were the building blocks that allowed people to express and communicate with each other. Today, engineers have developed their own vocabulary and symbols to communicate with each other.

ISBN: 9780355883879Subjects--Topical Terms:

3168411
Systems science.

Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering.
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500 $a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 $a Adviser: Azad M. Madni.
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520 $a From early heliographs to the modern day alphabets, humans have communicated with one another by using a combination of symbols. As groups gather and began using the same symbols, formal languages were developed within cultural boundaries. What were common to each group and language were the building blocks that allowed people to express and communicate with each other. Today, engineers have developed their own vocabulary and symbols to communicate with each other.
520 $a The vocabulary and symbols are used in models and documents to represent a system under development. As systems have evolved into more complex entities, the need to increase and formalize modeling semantics has garnered greater importance. When system architects and engineers saw the power of the Object Management Group's (OMG) Unified Modeling Language (UML) within the software engineering community, they began to use UML for system development. When creating descriptive system models with UML, the system engineering community recognized a gap in UML for systems engineering. UML did not provide the necessary terminology that the system community was accustomed to. In order to evolve the language, the system engineering community decided to extend UML to meet their needs. Evolving UML with common terminology frequently used within the system engineering community led to the creation of the OMG System Modeling Language (SysML). Since its inception in 2007, SysML has become the de-facto language for system architects and engineers for descriptive system models. Most of the research dedicated to system modeling has been focused on upfront conceptual design and architecture in the traditional system engineering discipline. As we move forward to integrate descriptive models into analytical models, there is a key opportunity to integrate other viewpoints into the system model by extending current semantics and adding other non-traditional systems engineering disciplines.
520 $a Today with the role of the human changing from operator of a system to an agent within the system (Madni, 2011a) and with the need for greater system adaptability, great importance is being placed on system architects and engineers to integrate the human into the systems, to facilitate the interactions between the human and machine, as well as the interfaces between them. In order to do this, the human element needs to be taken into account and appropriately modeled to support human-machine system tradeoffs. Current systems engineering practices address human-system integration as an afterthought (i.e. only after the system has been architected). In this situation, when changes to the system accumulate, redesign costs can spiral out of control. The issue is that people not trained in the human factors engineering discipline are unable to communicate with those that are, due to differences in understanding human characteristics, terminology and language. Even within the human system integration and human factor communities there is no general agreement on terminology and language. In order to better integrate humans into systems, new semantics are needed to extend current system modeling semantics (e.g. those associated with current model-based methods). The integration of the new semantics will allow for human elements to be analyzed within a holistic view of the system and the integration of the human element analysis at the system architecting phase.
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