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 …

In this paper, we describe our ongoing research aimed at defining a Requirements
Engineering Artefact Model (REAM) in the context of Big Data software applications. This …

The number and importance of Big Data projects is increasing, but unfortunately, a large
proportion of Big Data projects are failing. The ability of organizations to manage these …

With the advent of Big Data technologies, organizations can efficiently store and analyze
more data than ever before. However, extracting maximal value from this data can be …

Artefact-based requirements engineering (RE) describes the idea of establishing a company-
wide RE reference model by putting the focus on the RE artefacts and their dependencies …

This paper presents the results of an ethnographic study focused on how data science
projects were conducted within a global media advertising company. Observations, via …

Most prevailing software engineering methodologies assume that software systems are
developed from scratch to capture business data and subsequently generate reports …

As data continues to be produced in ever increasing quantities, and technologies such as
high performance computing continue to be enhanced, the number of big data projects …

This paper describes the process to elicit and classify the requirements of a Big Data-as-a-
service platform. The paper provides an overview of the analysis performed on the general …

Artefact-based requirements engineering (RE) describes the idea of establishing a company-
wide reference model by putting the focus on the RE artefacts and their dependencies rather …