This section of the Automated Software Engineering journal is devoted to the theme of Artificial Intelligence for Requirements Engineering. The synergies between these two domains bear the potential to improve requirements quality, among other things through automated models, natural language processing, machine learning, reasoning about uncertainties and ambiguities, knowledge acquisition and representation, agent based solutions, problem solving and decision making support mechanisms, optimization techniques and automated approaches for prioritization. Eight papers were received; five following an open call for papers, and three in response to targeted invitations to authors to submit an extended version of their accepted papers to the fifth Artificial Intelligence for Requirements Engineering (AIRE’18) workshop. The articles have undergone rigorous peer-review according to the journal’s high standards, following which two papers were accepted. The twoarticles that comprise this special issue contain a common threadof employing techniques from Artificial Intelligence, such as algorithms or natural language processing, to automate the identification of aspects relevant to a requirements engineer. They are briefly discussed as follows:

中文翻译：

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客座社论：人工智能需求工程专区

自动化软件工程期刊的这一部分专门针对需求工程的人工智能这一主题。这两个领域之间的协同作用具有提高需求质量的潜力，其中包括通过自动化模型、自然语言处理、机器学习、关于不确定性和歧义的推理、知识获取和表示、基于代理的解决方案、问题解决和决策支持机制、优化技术和优先排序的自动化方法。收到论文八篇；五个是在公开征集论文之后，三个是响应作者的有针对性的邀请，将他们接受的论文的扩展版本提交给第五届人工智能需求工程 (AIRE'18) 研讨会。文章按照期刊的高标准进行了严格的同行评审，随后两篇论文被接受。组成本特刊的两篇文章包含一个共同的线索，即使用人工智能技术（例如算法或自然语言处理）来自动识别与需求工程师相关的方面。简要讨论如下：