A Validation Study of a Requirements Engineering Artefact Model for Big Data Software Development Projects
A IDC study predicts that “in aggregate, the Big Data technology and services market is estimated to grow at a CAGR (compound annual growth rate) of 22.6% from 2015 to 2020 and reach $58.9 billion in 2020. Revenue for Big Data software is estimated to grow at a CAGR of 25.7% from 2015 to 2020 and reach $15.9 billion in 2020. Revenue for Big Data services, which consists of professional and support services, is estimated to grow at a CAGR of 23.9% from 2015 to 2020 and reach $15.2 billion in 2020.” While literature analysis and economic outlook suggest that the field of Big Data is growing rapidly, as yet there is no recognisable body of knowledge concerning the development of Big Data end-user software applications which, like traditional applications, serve end-user needs except that underlying the software system is Big Data which the system operates upon. This void is reflected in the field of Requirements Engineering (RE) a well. 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. Thus, to contribute to the scarce RE body of knowledge concerning the development of big data applications, we proposed an empirically derived RE artefact model for Big Data software development projects. The first version of the model has been derived from the analysis of the literature as well as real-world Big Data software project data. Also, Ten practitioners have initially validated the model, and a new version has been generated.
We now seek for practitioners working in Big Data Software development projects to help further validate the model so that it reflects a wider range of perspectives. The validation report containing the final version of the Big Data RE artefact model will be made available, in the future, for those interested in receiving it. (Details in the online questionnaire).
The online validation questionnaire can be accessed in the following link: https://tinyurl.com/y5cejkay