| Challenging Big Data Engineering: Positioning of Current and Future Development. M Volk, D Staegemann, M Pohl, K Turowski IoTBDS, 351-358, 2019 | 33 | 2019 |
| Understanding issues in big data applications–A multidimensional endeavor D Staegemann, M Volk, N Jamous, K Turowski | 29 | 2019 |
| Discussing relations between dynamic business environments and big data analytics D Staegemann, M Volk, C Daase, K Turowski Complex Systems Informatics and Modeling Quarterly, 58-82, 2020 | 25 | 2020 |
| Applying test driven development in the big data domain–lessons from the literature D Staegemann, M Volk, E Lautenschläger, M Pohl, M Abdallah, ... 2021 international conference on information technology (ICIT), 511-516, 2021 | 24 | 2021 |
| Big Data M Volk, D Staegemann, K Turowski Handbuch Digitale Wirtschaft, 1037-1053, 2020 | 24 | 2020 |
| Exploring the specificities and challenges of testing big data systems D Staegemann, M Volk, A Nahhas, M Abdallah, K Turowski 2019 15th International Conference on Signal-Image Technology & Internet …, 2019 | 22 | 2019 |
| Exploring the applicability of test driven development in the big data domain D Staegemann, M Volk, N Jamous, K Turowski | 20 | 2020 |
| Identifying similarities of big data projects–a use case driven approach M Volk, D Staegemann, I Trifonova, S Bosse, K Turowski IEEE Access 8, 186599-186619, 2020 | 18 | 2020 |
| Approaching the (Big) Data Science Engineering Process. M Volk, D Staegemann, S Bosse, R Häusler, K Turowski IoTBDS, 428-435, 2020 | 17 | 2020 |
| Generating Content-Compliant Training Data in Big Data Education. R Häusler, D Staegemann, M Volk, S Bosse, C Bekel, K Turowski CSEDU (1), 104-110, 2020 | 16 | 2020 |
| Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications D Staegemann, J Hintsch, K Turowski | 14 | 2019 |
| Toward a lifecycle for data science: a literature review of data science process models C Haertel, M Pohl, A Nahhas, D Staegemann, K Turowski | 12 | 2022 |
| Towards a concept for building a big data architecture with microservices A Shakir, D Staegemann, M Volk, N Jamous, K Turowski Business information systems, 83-94, 2021 | 11 | 2021 |
| Providing clarity on big data technologies: The BDTOnto ontology M Volk, D Staegemann, N Jamous, M Pohl, K Turowski International Journal of Intelligent Information Technologies (IJIIT) 16 (2 …, 2020 | 10 | 2020 |
| A literature review on the challenges of applying test-driven development in software engineering D Staegemann, M Volk, M Perera, C Haertel, M Pohl, C Daase, ... Complex Systems Informatics and Modeling Quarterly, 18-28, 2022 | 9 | 2022 |
| Towards a Decision Support System for Big Data Projects. M Volk, D Staegemann, S Bosse, A Nahhas, K Turowski, N Gronau, ... Wirtschaftsinformatik (Zentrale Tracks), 357-368, 2020 | 8 | 2020 |
| Project artifacts for the data science lifecycle: a comprehensive overview C Haertel, M Pohl, D Staegemann, K Turowski 2022 IEEE International Conference on Big Data (Big Data), 2645-2654, 2022 | 6 | 2022 |
| Addressing the dichotomy of theory and practice in design science research methodologies C Daase, M Volk, D Staegemann, K Turowski 17th International Conference on Design Science Research in Information …, 2022 | 6 | 2022 |
| A Preliminary Overview of the Situation in Big Data Testing. D Staegemann, M Volk, M Pohl, R Häusler, A Nahhas, M Abdallah, ... IoTBDS, 296-302, 2021 | 6 | 2021 |
| Hybrid Project Management Methods Efficiency in IT Projects. N Jamous, G Garttan, D Staegemann, M Volk AMCIS, 2021 | 6 | 2021 |
Dr. Matthias VolkOtto-von-Guericke University MagdeburgBestätigte E-Mail-Adresse bei ovgu.de
