개발운용조직 통합관리(DevOps)기반 AI 무기체계 소프트웨어 개발에 대한 연구
Study on DevOps-based AI Weapon System Software Development
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초록
Currently, research on unmanned combat robots, Manned-unmanned Teaming (MUM-T) systems, and big data utilization based on AI are being actively conducted in the field of weapon system software development, accelerating the unmannedization of the weapon system field. However, the traditional development method, known as the waterfall method theory, leads to the order of Requirement-development-test-deploy and has many limitations when applied to rapidly changing AI-based development. Therefore, in this study, the problems of the existing waterfall method and the methods for using DevOps in the AI-based weapon system software development process were studied.
Abstract
Currently, research on unmanned combat robots, Manned-unmanned Teaming (MUM-T) systems, and big data utilization based on AI are being actively conducted in the field of weapon system software development, accelerating the unmannedization of the weapon system field. However, the traditional development method, known as the waterfall method theory, leads to the order of Requirement-development-test-deploy and has many limitations when applied to rapidly changing AI-based development. Therefore, in this study, the problems of the existing waterfall method and the methods for using DevOps in the AI-based weapon system software development process were studied.
참고문헌 (12)
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