Using GORE in Big Data: A Systematic Mapping Study

Big Data has developed rapidly into a hot topic that generates great attention in academia, industry and governments around the world because of its ability to process large volumes of data at a reasonable speed. The real value of Big Data lies in the help to business decision making, so it requires appropriate methods and techniques to find the requirements of the system to be developed. However, the Big Data community has focused mainly on technologies to obtain information, and not on the goal of the business. The objective of this paper is to offer an overview of how some Goal Oriented Requirements Engineering (GORE) proposals are used to obtain the requirements of the Big Data system, serving as a starting point for future research. The methodology used is the Systematic Mapping. The goal models identified it is used as conceptual models for different situations: understanding the nature of business and analyzing the technical aspects for purposes of functional and non-functional requirements of Big Data system.