A Process Model for Test Driven Development in the Big Data Domain

Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski

2022

Abstract

Big data has emerged to be one of the driving factors of today’s society. However, the quality assurance of the corresponding applications is still far from being mature. Therefore, further work in this field is needed. This includes the improvement of existing approaches and strategies as well as the exploration of new ones. One rather recent proposition was the application of test driven development to the implementation of big data systems. Since their quality is of critical importance to achieve good results and the application of test driven development has been found to increase the developed product’s quality, this suggestion appears promising. However, there is a need for a structured approach to outline how the corresponding endeavors should be realized. Therefore, the publication at hand applies the design science research methodology to bridge this gap by proposing a process model for test driven development in the big data domain.

Paper Citation

in Harvard Style

Staegemann D., Volk M., Jamous N. and Turowski K. (2022). A Process Model for Test Driven Development in the Big Data Domain. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS; ISBN 978-989-758-614-9, SciTePress, pages 109-118. DOI: 10.5220/0011337200003335

in Bibtex Style

@conference{kmis22,
author={Daniel Staegemann and Matthias Volk and Naoum Jamous and Klaus Turowski},
title={A Process Model for Test Driven Development in the Big Data Domain},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS},
year={2022},
pages={109-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011337200003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS
TI - A Process Model for Test Driven Development in the Big Data Domain
SN - 978-989-758-614-9
AU - Staegemann D.
AU - Volk M.
AU - Jamous N.
AU - Turowski K.
PY - 2022
SP - 109
EP - 118
DO - 10.5220/0011337200003335
PB - SciTePress