Towards a requirements engineering artefact model in the context of big data software development projects: Research in progress
Darlan Florencio de Arruda, Nazim H. Madhavji · 2017
There is ample literature that suggests that the field of Big Data is growing rapidly. Also, there is emerging literature on the need to create end-user Big Data applications, as distinct from “data analytics” that typically employs machine learning algorithms to find value in large datasets for the stakeholder. A solid foundation for creating sound applications is a thorough understanding of domain and artefact models that embody artefact types and activities involved in a software project. This paper focuses on the Requirements Engineering (RE) aspect of a Big Data software project. Currently, there are no known RE artefact models to support RE process design and project understanding. To fill this void, this paper proposes a RE artefact model for Big Data end-user applications (BD-REAM). The paper also describes a method for creating the artefact model, including the basic elements and inter-relationships involved in the model.