Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development

Daniel Staegemann, Matthias Volk, Klaus Turowski

2022

Abstract

Knowledge, information, and modern technologies have become some of the most influential drivers of today’s society, consequently leading to a high popularity of the concepts of big data (BD). However, their actual harnessing is a demanding task that is accompanied by many barriers and challenges. To facilitate the realization of the corresponding projects, the (big) data science engineering process (BDSEP) has been devised to support researchers and practitioners in the planning and implementation of data intensive projects by outlining the relevant steps. However, the BDSEP is only geared towards a test last development approach. With recent works suggesting the application of test driven development (TDD) in the big data domain, it appears reasonable to also provide a corresponding TDD focused equivalent to the BDSEP. Therefore, in the publication at hand, using the BDSEP as a foundation, the test driven big data science engineering process (TDBDSEP) is proposed, facilitating the application of TDD in the big data domain and further enriching the discourse on BD quality assurance.

Paper Citation

in Harvard Style

Staegemann D., Volk M. and Turowski K. (2022). Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. In Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT, ISBN 978-989-758-587-6, pages 120-129. DOI: 10.5220/0011289200003280

in Bibtex Style

@conference{icsbt22,
author={Daniel Staegemann and Matthias Volk and Klaus Turowski},
title={Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development},
booktitle={ Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT,},
year={2022},
pages={120-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011289200003280},
isbn={978-989-758-587-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT,
TI - Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development
SN - 978-989-758-587-6
AU - Staegemann D.
AU - Volk M.
AU - Turowski K.
PY - 2022
SP - 120
EP - 129
DO - 10.5220/0011289200003280