Dependability Analysis and Verification Technology of Artificial Intelligence Software

Yaming Zhang, Lijin Wu, Xiaomei Shen, Zehua Shen, Tongli Tang
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Abstract

This paper focuses on the dependability analysis and verification technology of artificial intelligence software. Aiming at the dependability problems caused by the uncontrollable algorithm output of artificial intelligence software, misguided learning models and unpredictable software defects, as well as the current intelligent software testing and verification requirements, this paper analyzes the connotation and characteristics of artificial intelligence software dependability, and studies artificial intelligence software dependability mechanism and defect mode analysis method, break through artificial intelligence software dependability verification technology, innovatively build artificial intelligence software dependability index system, and finally form a comprehensive evaluation method for software dependability.
人工智能软件可靠性分析与验证技术
本文主要研究人工智能软件的可靠性分析与验证技术。针对人工智能软件算法输出不可控、学习模型被误导、软件缺陷不可预测等导致的可靠性问题,以及当前智能软件测试验证需求,分析了人工智能软件可靠性的内涵和特点,研究了人工智能软件可靠性机制和缺陷模式分析方法。突破人工智能软件可靠性验证技术,创新构建人工智能软件可靠性指标体系,最终形成软件可靠性综合评价方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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