Applying test driven development in the big data domain–lessons from the literature

D Staegemann, M Volk… - 2021 international …, 2021 - ieeexplore.ieee.org
Big data has evolved to a ubiquitous part of today's society. However, despite its popularity,
the development and testing of the corresponding applications are still very challenging …

Identifying similarities of big data projects–a use case driven approach

M Volk, D Staegemann, I Trifonova, S Bosse… - IEEE …, 2020 - ieeexplore.ieee.org
Big data is considered as one of the most promising technological advancements in the last
decades. Today it is used for a multitude of data intensive projects in various domains and …

Exploring the applicability of test driven development in the big data domain

D Staegemann, M Volk, N Jamous, K Turowski - 2020 - aisel.aisnet.org
Big data analytics and the according applications have gained huge importance in daily life.
This results on the one hand from their versatility and on the other hand from their capability …

[PDF][PDF] Approaching the (Big) Data Science Engineering Process.

M Volk, D Staegemann, S Bosse, R Häusler… - IoTBDS, 2020 - scitepress.org
For many years now, researchers as well as practitioners are harnessing well-known data
mining processes, such as the CRISP-DM or KDD, to realize their data analytics projects. In …

Towards a data collection quality model for big data applications

M Abdallah, A Hammad, W AlZyadat - International Conference on …, 2021 - Springer
Big Data and its uses are widely used in many applications and fields; artificial information,
medical care, business, and much more. Big Data sources are widely distributed and …

Big data quality factors, frameworks and challenges

M Abdallah, M Muhairat, A Althunibat, A Abdalla - Compusoft, 2020 - search.proquest.com
Big Data applications are widely used in many fields such as artificial intelligence,
marketing, commercial applications and health care, as demonstrated by the role of Big Data …

Big Data testing techniques: taxonomy, challenges and future trends

I Arshad, SH Alsamhi, W Afzal - arXiv preprint arXiv:2111.02853, 2021 - arxiv.org
Big Data is reforming many industrial domains by providing decision support through
analyzing large data volumes. Big Data testing aims to ensure that Big Data systems run …

Quality Assurance in Big Data Engineering-A Metareview

D Staegemann, M Volk, K Turowski - Complex Systems Informatics …, 2021 - journals.rtu.lv
With a continuously increasing amount and complexity of data being produced and
captured, traditional ways of dealing with their storing, processing, analysis and presentation …

[PDF][PDF] A Preliminary Overview of the Situation in Big Data Testing.

D Staegemann, M Volk, M Pohl, R Häusler, A Nahhas… - IoTBDS, 2021 - scitepress.org
Due to the constantly increasing amount and variety of data produced, big data and the
corresponding technologies have become an integral part of daily life, influencing numerous …

[PDF][PDF] Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics.

M Volk, D Staegemann, K Turowski - KDIR, 2022 - scitepress.org
For many years now, the domain of big data has received lots of attention, as numerous
studies, reports, and research articles reveal. Up to this date, a multitude of different …