User profiles for Daniel Staegemann

Daniel Staegemann

Otto-von-Guericke University Magdeburg
Verified email at ovgu.de
Cited by 515

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 …

A literature review on the challenges of applying test-driven development in software engineering

D Staegemann, M Volk, M Perera… - Complex Systems …, 2022 - csimq-journals.rtu.lv
Due to the ongoing trend of digitalization, the importance of software for today’s society is
continuously increasing. Naturally, there is also a huge interest in improving its quality, which …

Toward a lifecycle for data science: a literature review of data science process models

C Haertel, M Pohl, A Nahhas, D Staegemann… - 2022 - aisel.aisnet.org
Data Science projects aim to methodologically extract knowledge and value from data to help
organizations to improve performance. Dedicated process models are applied to support …

Discussing relations between dynamic business environments and big data analytics

D Staegemann, M Volk, C Daase… - … and Modeling Quarterly, 2020 - csimq-journals.rtu.lv
Big data attracts researchers and practitioners around the globe in their desire to effectively
manage the data deluge resulting from the ongoing evolution of the information systems …

Exploring the specificities and challenges of testing big data systems

D Staegemann, M Volk, A Nahhas… - … on Signal-Image …, 2019 - ieeexplore.ieee.org
Today, the amount and complexity of data that is globally produced increases continuously,
surpassing the abilities of traditional approaches. Therefore, to capture and analyze those …

Application of microservices patterns to big data systems

P Ataei, D Staegemann - Journal of Big Data, 2023 - Springer
The panorama of data is ever evolving, and big data has emerged to become one of the
most hyped terms in the industry. Today, users are the perpetual producers of data that if …

[PDF][PDF] Challenging Big Data Engineering: Positioning of Current and Future Development.

M Volk, D Staegemann, M Pohl, K Turowski - IoTBDS, 2019 - pdfs.semanticscholar.org
This contribution examines the terms of big data and big data engineering, considering the
specific characteristics and challenges. Deduced by those, it concludes the need for new …

[PDF][PDF] Understanding issues in big data applications–A multidimensional endeavor

D Staegemann, M Volk, N Jamous, K Turowski - 2019 - researchgate.net
The amount of data to be produced and analyzed is increasing year by year. As a result, the
concept of big data gained interest among researchers and practitioners. However, a …

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 …

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 …