  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.
