缩小以人为本的人工智能软件设计需求收集方面的差距

Saurabh Bhattacharya
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引用次数: 0

摘要

需求收集是分析人员用来确定用户对软件需求的技术。获取需求的过程很少是有效的,许多软件项目的失败就是因为没有全面或准确地理解用户的需求。大多数人都认为,获取需求是开发过程中至关重要的一步。本章将分析需求收集不充分导致众多技术失败的原因。获取需求是一个艰难的过程。在需求征集过程中,缺陷更为普遍。本文旨在研究这些困难,并为满足监管框架要求的诸多障碍提供解决方案。利益相关者的缺失、需求的模糊性、需求的不规则波动、分析师专业知识的不足,这些都给专家收集需求带来了困难。在各种情况和领域中,优先系统调查被证明是获取信息的最有效方法之一
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Closing the Gaps in Requirement Gathering for Human-focused AI Software Design
Requirement gathering is the technique used by analysts to determine the software demands of users. The process of obtaining requirements is rarely effective, and many software projects have failed because the requirements from consumers were not fully or accurately understood. Most people agree that obtaining requirements is a crucial step in the development process. The chapter is going to analyze the reasons why inadequate requirement collecting causes numerous technology failures. Obtaining requirements is a difficult process. Defects are more prevalent when requirements are solicited. The article aims to examine these difficulties and offer a solution for the many obstacles that come with meeting the demands of the regulatory framework. The absence of stakeholders, ambiguous needs, irregular fluctuations in demand, and insufficient expertise among analysts pose difficulties for experts when it comes to gathering requirements. Preferential system surveys were shown to be one of the most effective methods for acquiring information in a range of situations and domains
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