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Aerospace Technologies Advancements Fig Part 2

Tham khảo tài liệu 'aerospace technologies advancements fig part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 2 Building the Next Generation of Aerospace Data Processing Systems by Reusing Existing Software Components James J. Marshall1 Robert R. Downs2 and Shahin Samadi1 1Innovim NASA Goddard Space Flight Center 2CIESIN Columbia University usA 1. Introduction Software is a key ingredient when developing any aerospace system. It is used in embedded electronics in flight dynamics in ground and space data processing and in the current generation of data products. For example the National Aeronautics and Space Administration NASA Goddard Space Flight Center s Innovative Partnerships Program Office offers licensing opportunities for software and technologies from a variety of areas relevant to the hardware and software requirements of Earth and space science missions and projects aerospace aeronautics computer software data processing analysis electromechanical devices electronics manufacturing equipment mechanical technologies nanotechnology optics and photonics sensor and detector technologies subassemblies and components telecommunications and internet and test and measurement IPP Office 2009 . Reuse of existing experience and artifacts eliminates having to reinvent the wheel and is a key element to achieving progress in many areas of complex aerospace system development. Originally in the absence of vendor-provided solutions and commercial off-the-shelf software components many data and information systems were designed and built as custom applications. However as the practice of systems and applications development has matured facilitating reuse of software and reusing previously developed software have been recognized as beneficial for meeting the challenges of developing and maintaining complex systems. Some of the challenges commonly faced by system developers can include dealing with very large quantities of data e.g. terabytes per day working with a distributed knowledge base the expense and complexity of required technology infrastructure and the need for .