Software metrics in use at JPL applications and research
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Engineering topics
Publications and source records attributed to Feather, M..
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An assessment methodology is described and illustrated.
Capturing requirements, and managing tradeoffs among them, are critical yet complex activities.
NASA is supporting efforts to improve the verification and validation process and the risk management process for spaceflight projects.
The Remote Agent Experiment (RAX) on the Deep Space 1 (DS1) mission was the first time that an artificially intelligent agent controlled a NASA spacecraft.
The Remote Agent Experiment (RAX) on the Deep Space 1 (DS1) mission was the first time that an artificially intelligent agent controlled a NASA spacecraft.
We describe a progression from pilot studies to development and use of domain-specific verification and validation (V&V) automation. Our domain is the testing of an AI planning system that forms a key component of an autonomous spacecraft.
We have developed a prototype of tool support for risk assessment that uses selected components of the Software Engineering Institute (SEI) information, specifically: Capability Maturity Model (CMM) process activities, CMM process goals and the SEI taxonomy of software project risks.
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We have introduced and used significant automation during the verification and validation (V & V) of a spacecraft's autonomous planner. This paper describes the problem we faced, the solution we employed, and the applicability of our approach in a general V & V setting.
This abstract describes the problem we faced, the solution we employed, and the applicability of our approach in a general V&V setting.
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