Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
This paper reports on the results of an exploratory case study on a large-scale Big Data systems development project in the OilGas domain within a non-profit organisation. The aim of this study was to investigate the RE practices and challenges in such projects, currently bereft in the scientific literature. This investigation was focused on: (a) RE practices; (b) sources and distribution of requirements; (c) the role of Big Data characteristics and technologies in RE and systems design; and (d) RE challenges in engineering Big Data Systems. The main results show that (a) there is a lack of specific project tailored RE practices, tools, and frameworks for elicitation, specification and modelling, analysis, and prioritisation of requirements; (b) 40% of the system's requirements are considered Big Data-related from which 75% are identified from internal sources; (c) Big Data characteristics and technologies play an important role in defining quality requirements and system's architecture; (d) five challenges in eliciting, documenting, and analysing Big Data related requirements were identified and discussed. The findings suggest academics and practitioners opportunities to engage in further research in this area.
Original language | English |
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Title of host publication | Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 |
Editors | Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Tony Hu, Olivera Kotevska, Siyuan Lu, Weijia Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz |
Number of pages | 8 |
Publisher | IEEE |
Publication date | 2020 |
Pages | 2012-2019 |
Article number | 9377734 |
ISBN (Electronic) | 9781728162515 |
DOIs | |
Publication status | Published - 2020 |
Event | 8th IEEE International Conference on Big Data, Big Data 2020 - Virtual, Atlanta, United States Duration: 10 Dec 2020 → 13 Dec 2020 |
Conference
Conference | 8th IEEE International Conference on Big Data, Big Data 2020 |
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Land | United States |
By | Virtual, Atlanta |
Periode | 10/12/2020 → 13/12/2020 |
Sponsor | Ankura TM, IBM, IEEE, IEEE Computer Society |
- Big Data Challenges, Big Data Requirements, Big Data Systems, Case Study, Requirements Engineering
Research areas
ID: 260406923