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Aerospace Instrument-Making

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An approach to analyzing on-board software quality properties
M.V. Samsonova, V.V. Burakov

The article describes an approach to evaluating the quality of on-board software. Based approach is the use of artificial intelligence such as neural networks, trained using a genetic algorithm. Use of this approach will allow for the automation of quality assessment and monitoring of quality indicators for precise control of the on-board software development process. Key words: on-board software, metric, genetic algorithm, neural network, learning sample. E-mail: soma_01@mail.ru. Pp. 3-9.

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