Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects : Early Insights from a Case Study. / Arruda, Darlan; Laigner, Rodrigo.

Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. red. / 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. IEEE, 2020. s. 2012-2019 9377734.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Arruda, D & Laigner, R 2020, Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study. i X Wu, C Jermaine, L Xiong, XT Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (red), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020., 9377734, IEEE, s. 2012-2019, 8th IEEE International Conference on Big Data, Big Data 2020, Virtual, Atlanta, USA, 10/12/2020. https://doi.org/10.1109/BigData50022.2020.9377734

APA

Arruda, D., & Laigner, R. (2020). Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study. I X. Wu, C. Jermaine, L. Xiong, X. T. Hu, O. Kotevska, S. Lu, W. Xu, S. Aluru, C. Zhai, E. Al-Masri, Z. Chen, & J. Saltz (red.), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 (s. 2012-2019). [9377734] IEEE. https://doi.org/10.1109/BigData50022.2020.9377734

Vancouver

Arruda D, Laigner R. Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study. I Wu X, Jermaine C, Xiong L, Hu XT, Kotevska O, Lu S, Xu W, Aluru S, Zhai C, Al-Masri E, Chen Z, Saltz J, red., Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. IEEE. 2020. s. 2012-2019. 9377734 https://doi.org/10.1109/BigData50022.2020.9377734

Author

Arruda, Darlan ; Laigner, Rodrigo. / Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects : Early Insights from a Case Study. Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. red. / 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. IEEE, 2020. s. 2012-2019

Bibtex

@inproceedings{f18c1b7730a74e87b8cccff36edc1fc0,
title = "Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study",
abstract = "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.",
keywords = "Big Data Challenges, Big Data Requirements, Big Data Systems, Case Study, Requirements Engineering",
author = "Darlan Arruda and Rodrigo Laigner",
year = "2020",
doi = "10.1109/BigData50022.2020.9377734",
language = "English",
pages = "2012--2019",
editor = "Xintao Wu and Chris Jermaine and Li Xiong and Hu, {Xiaohua Tony} and Olivera Kotevska and Siyuan Lu and Weijia Xu and Srinivas Aluru and Chengxiang Zhai and Eyhab Al-Masri and Zhiyuan Chen and Jeff Saltz",
booktitle = "Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020",
publisher = "IEEE",
note = "8th IEEE International Conference on Big Data, Big Data 2020 ; Conference date: 10-12-2020 Through 13-12-2020",

}

RIS

TY - GEN

T1 - Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects

T2 - 8th IEEE International Conference on Big Data, Big Data 2020

AU - Arruda, Darlan

AU - Laigner, Rodrigo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Big Data Challenges

KW - Big Data Requirements

KW - Big Data Systems

KW - Case Study

KW - Requirements Engineering

UR - http://www.scopus.com/inward/record.url?scp=85103852039&partnerID=8YFLogxK

U2 - 10.1109/BigData50022.2020.9377734

DO - 10.1109/BigData50022.2020.9377734

M3 - Article in proceedings

AN - SCOPUS:85103852039

SP - 2012

EP - 2019

BT - Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

A2 - Wu, Xintao

A2 - Jermaine, Chris

A2 - Xiong, Li

A2 - Hu, Xiaohua Tony

A2 - Kotevska, Olivera

A2 - Lu, Siyuan

A2 - Xu, Weijia

A2 - Aluru, Srinivas

A2 - Zhai, Chengxiang

A2 - Al-Masri, Eyhab

A2 - Chen, Zhiyuan

A2 - Saltz, Jeff

PB - IEEE

Y2 - 10 December 2020 through 13 December 2020

ER -

ID: 260406923