Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case

Daniel Staegemann, Matthias Volk, Priyanka Byahatti, Nikhilkumar Italiya, Suhas Shantharam, Apoorva Chandrashekar, Klaus Turowski

2022

Abstract

As a consequence of the ongoing digitalization in today’s society, the amount of data that is being produced is rapidly increasing. Moreover, not only the volume of the data is growing, but there are also more complex types of data and, depending on the use case, it is also necessary to integrate heterogenous data into one analysis. Since traditional ways of dealing with data are oftentimes overstrained by those new challenges, novel approaches and technologies have been developed. In its entirety, this phenomenon is summarized under the term big data. However, quality assurance in the big data realm is still not mature and this even more applies to the actual testing. Therefore, it is necessary to explore new approaches. One rather recent proposition was the application of the test driven development methodology to the big data domain. To further evaluate its feasibility and go beyond a purely theoretical point of view, the publication at hand discusses the test driven implementation of a movie recommendation system as an exemplary case. In doing so, it facilitates the general understanding of the topic, helps in judging the approach’s feasibility and provides some practical insights concerning its actual application.

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Paper Citation


in Harvard Style

Staegemann D., Volk M., Byahatti P., Italiya N., Shantharam S., Chandrashekar A. and Turowski K. (2022). Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-564-7, pages 239-248. DOI: 10.5220/0011085600003194


in Bibtex Style

@conference{iotbds22,
author={Daniel Staegemann and Matthias Volk and Priyanka Byahatti and Nikhilkumar Italiya and Suhas Shantharam and Apoorva Chandrashekar and Klaus Turowski},
title={Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2022},
pages={239-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011085600003194},
isbn={978-989-758-564-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case
SN - 978-989-758-564-7
AU - Staegemann D.
AU - Volk M.
AU - Byahatti P.
AU - Italiya N.
AU - Shantharam S.
AU - Chandrashekar A.
AU - Turowski K.
PY - 2022
SP - 239
EP - 248
DO - 10.5220/0011085600003194