London software testing news UK


Testing doesn’t have to be rocket science. But it might be.

Posted in Software testing by testing in London on December 10, 2006

For the full RFI notice visit SpaceRef.com

This notice is issued by the National Aeronautics and Space Administration (NASA) Lyndon B. Johnson Space Center (JSC) to post a Request for Information (RFI) via the internet and to solicit information from Industry.

NASA recognises that a high priority must be given to system designs and integrated processes that enhance, simplify, and streamline the operations of the Program. To this end, emphasis will be placed on integrating, refining and redefining end-to-end processes, from manufacturing/integration/test through pre-launch processing, launch operations, mission operations, recovery and refurbishment, and finally disposal of human-rated space vehicles.

The specific objective of this RFI is to request information on the full scope of activities, tools, models, and evaluation criteria used to optimize integrated processes in order to improve the long-term operability and life-cycle affordability of the overall Constellation Program. Responses are requested to any or all of the following topics (an extract of the orginal list):

1. Based on industry experience, which program/project milestones are best associated with the planning of which parts to manufacturing, testing, integration, operation and sustainment (engineering and logistics)? What should the maturity level be for the manufacturing, test, integration, operation and sustainment plans, requirements and designs at each of the program/project milestones?

4. What are the key considerations in determining the condition, location, and timing of handover from one organization to another for continued processing or for higher indentured integration?

5. How are the perceptiveness and effectiveness of tests in different configurations, environments, and levels of indenture used to influence optimization of manufacturing and integration flow?

6. To what degree is data architecture (the collection and control of information related to the product line build records, acceptance testing, integration, quality assurance, verification, problem reporting, flight history, mission-specific attributes and conditions, etc.) key to minimizing lifecycle cost? Are there preferred best practices or approaches to data architecture that can best assure a successful outcome?

UAT

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