摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者来自Slo Venia马里博尔的新闻报道，研究表明，"人工智能(AI)在各种应用中的使用呈指数级增长。"我们的新闻记者从马里布大学的研究中获得了一句话：“最近，学术界开始研究并注入新的AI Base D方法，为传统的软件工程问题提供解决方案。然而，需要包括对当前现状的全面和全面的了解。为了缩小上述差距，采用综合知识合成方法,归纳了当前软件工程人工智能研究文献的研究概况,归纳出15个研究类别和5个主题,即软件工程中的自然语言处理、软件开发生命周期管理中的人工智能、故障/缺陷预测和工作量估计中的机器学习、软件工程中的人工智能、软件在智能软件工程和代码管理方面采用深度学习，挖掘软件库以提高软件质量。产量最高的国家是中国（n=2042），其次是美国（n=1193）、印度（n=934）、德国（n=445）和加拿大（n=381）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Maribor, Slo venia, by NewsRx correspondents, research stated, “Artificial intelligence (AI) has witnessed an exponential increase in use in various applications.” Our news journalists obtained a quote from the research from University of Marib or: “Recently, the academic community started to research and inject new AI-base d approaches to provide solutions to traditional software-engineering problems. However, a comprehensive and holistic understanding of the current status needs to be included. To close the above gap, synthetic knowledge synthesis was used t o induce the research landscape of the contemporary research literature on the u se of AI in software engineering. The synthesis resulted in 15 research categori es and 5 themes-namely, natural language processing in software engineering, use of artificial intelligence in the management of the software development life c ycle, use of machine learning in fault/defect prediction and effort estimation, employment of deep learning in intelligent software engineering and code managem ent, and mining software repositories to improve software quality. The most prod uctive country was China (n = 2042), followed by the United States (n = 1193), I ndia (n = 934), Germany (n = 445), and Canada (n = 381).”
NETL
NSTL