Ontologies to Support Customer Requirement Formulation in Aerospace Design

Author(s):  
Mark T. Lemke ◽  
Robert B. Stone ◽  
Ryan A. Arlitt

The major goal of customer requirement formulation is to achieve a common understanding between the project stakeholders and the engineering requirements. Many times, this process can be ambiguous, incomplete, and time consuming especially when more than one engineering discipline is involved. Therefore, adequate requirement formulation tools can be a major contributor to solving these challenges. The use of ontologies provides a standardized way of describing concepts in a domain of interest and the relationships between these concepts to better understand the domain as a whole. This paper describes the methodology used to create an ontology derived from twenty customer requirements of a mid-size, twin-engine, commercial transport-class aircraft provided by NASA Ames Research Center. One key stipulation that NASA had was that this ontology effectively captures the relationships that exist between the hardware and software level of each customer requirement. The final ontology was created using Protégé OWL, an open source ontology editor, which will be used by NASA in order to improve the customer requirement creation phase of future NASA products. The ontology and requirements were further generalized into a set of common patterns for describing requirements in this domain. These pattern templates provide a tool to ensure that common styles of requirements have been considered, and that these common styles are uniform. This research paper fills a gap in the customer requirement research field by introducing the use of ontologies and common patterns to reduce ambiguity and repetition.

1991 ◽  
Author(s):  
MAX REID ◽  
MARIA BUALAT ◽  
JOHN DOWNIE ◽  
DAVID GALANT ◽  
CHARLES GARY ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3691
Author(s):  
Ciprian Orhei ◽  
Silviu Vert ◽  
Muguras Mocofan ◽  
Radu Vasiu

Computer Vision is a cross-research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. The image processing systems is continuously growing and expanding into more complex systems, usually tailored to the certain needs or applications it may serve. To better serve this purpose, research on the architecture and design of such systems is also important. We present the End-to-End Computer Vision Framework, an open-source solution that aims to support researchers and teachers within the image processing vast field. The framework has incorporated Computer Vision features and Machine Learning models that researchers can use. In the continuous need to add new Computer Vision algorithms for a day-to-day research activity, our proposed framework has an advantage given by the configurable and scalar architecture. Even if the main focus of the framework is on the Computer Vision processing pipeline, the framework offers solutions to incorporate even more complex activities, such as training Machine Learning models. EECVF aims to become a useful tool for learning activities in the Computer Vision field, as it allows the learner and the teacher to handle only the topics at hand, and not the interconnection necessary for visual processing flow.


Author(s):  
James A. Cowling ◽  
Christopher V. Morgan ◽  
Robert Cloutier

The systems engineering discipline has made great strides in developing a manageable approach to system development. This is predicated on thoroughly articulating the stakeholder requirements. However, in some engineering environments, requirements are changing faster than they can be captured and realized, making this ‘traditional' form of systems engineering less tenable. An iterative system refinement approach, characterized by open systems developments, may be a more appropriate and timely response for fast-changing needs. The open systems development approach has been utilized in a number of domains including open source software, Wikipedia®, and open innovation in manufacturing. However, open systems development appears difficult to recreate successfully, and while domain tradecraft advice is often available, no engineering management methodology has emerged to improve the likelihood of success. The authors discuss the essential features of openness in these three domains and use them to propose a conceptual framework for the further exploration of the effect of governance in determining success in such open endeavors. It is the authors' hope that further research to apply this conceptual framework to open source software projects may reveal some rudimentary elements of a management methodology for environments where requirements are highly uncertain, volatile, or ‘traditional' systems engineering is otherwise sub-optimal.


Computer ◽  
2000 ◽  
Vol 33 (1) ◽  
pp. 63-71 ◽  
Author(s):  
D. Cooke ◽  
S. Hamilton

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