Requirements engineering (RE), as a part of the project development life cycle, has increasingly been recognized as the key to ensuring on-time, on-budget, and goal-based delivery of software projects;compromising this vital phase is nothing but project failures. RE of big data projects is even more crucial because of the main characteristics of big data, including high volume, velocity, and variety. As the traditional RE methods and tools are user-centric rather than data-centric, employing these methodologies is insufficient to fulfill the RE processes for big data projects. Because of the importance of RE and limitations of traditional RE methodologies in the context of big data software projects, in this paper, a big data requirements engineering framework, named REBD, has been proposed. This conceptual framework describes the systematic plan to carry out big data projects starting from requirements engineering to the development, assuring successful execution, and increased productivity of the big data projects.

中文翻译：

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REBD：大数据需求工程的概念框架

需求工程 (RE) 作为项目开发生命周期的一部分，越来越被认为是确保按时、按预算和基于目标交付软件项目的关键；妥协这一重要阶段只不过是项目失败。由于大数据的主要特点，包括高容量、高速度和多样性，大数据项目的可再生能源变得更加重要。由于传统的 RE 方法和工具以用户为中心而非以数据为中心，采用这些方法不足以完成大数据项目的 RE 流程。由于大数据软件项目背景下 RE 的重要性和传统 RE 方法论的局限性，本文提出了一个名为 REBD 的大数据需求工程框架。