| 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 |
| 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 |
| Following the Digital Thread–A Cloud-Based Observation C Daase, C Haertel, A Nahhas, M Volk, H Steigerwald, A Ramesohl, ... Procedia Computer Science 217, 1867-1876, 2023 | 8 | 2023 |
| 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 |
| On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing A Nahhas, C Haertel, C Daase, M Volk, A Ramesohl, H Steigerwald, ... Procedia Computer Science 217, 1857-1866, 2023 | 5 | 2023 |
| A Survey of Technology Selection Approaches in Data Science Projects C Haertel, M Pohl, A Nahhas, D Staegemann, K Turowski | 2 | 2023 |
| Identifying Guidelines for Test-Driven Development in Software Engineering—A Literature Review D Staegemann, M Volk, M Pohl, C Haertel, J Hintsch, K Turowski Proceedings of Seventh International Congress on Information and …, 2023 | 2 | 2023 |
| Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. S Timmermann, D Staegemann, M Volk, M Pohl, C Haertel, J Hintsch, ... FEMIB, 22-34, 2022 | 2 | 2022 |
| Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures C Haertel, M Pohl, S Bosse, R Häusler, A Nahhas, D Staegemann, M Volk, ... International Journal of Organizational and Collective Intelligence (IJOCI …, 2021 | 2 | 2021 |
| Value Creation from Data Science Applications-A Literature Review M Pohl, C Haertel, K Turowski International Conference on Business Informatics Research, 327-338, 2023 | 1 | 2023 |
| Data Science Methodology M Pohl, C Haertel, D Staegemann, K Turowski Encyclopedia of Data Science and Machine Learning, 1201-1214, 2023 | 1 | 2023 |
| A Holistic View of Adaptive Supply Chain in Retailing Industry. C Haertel, A Nahhas, C Daase, M Volk, K Turowski AMCIS, 2022 | 1 | 2022 |
| Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems A Nahhas, A Kharitonov, C Haertel, K Turowski | | 2024 |
| MLOps in Data Science Projects: A Review C Haertel, D Staegemann, C Daase, M Pohl, A Nahhas, K Turowski 2023 IEEE International Conference on Big Data (BigData), 2396-2404, 2023 | | 2023 |
| An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications D Staegemann, M Pohl, C Haertel, C Daase, M Abdallah, K Turowski 2023 17th International Conference on Signal-Image Technology & Internet …, 2023 | | 2023 |
| Data Valuation Methods-A Literature Review M Pohl, C Haertel, D Staegemann, K Turowski | | 2023 |
| Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators C Haertel, C Daase, D Staegemann, A Nahhas, M Pohl, K Turowski | | 2023 |
| The Linkage to Business Goals in Data Science Projects M Pohl, C Haertel, D Staegemann, K Turowski | | 2023 |
| Achieving Competitive Advantages Through Situation-Aware Big Data Engineering–When (Not) to Use Test Driven Development D Staegemann, M Volk, M Pohl, C Haertel, N Jamous, K Turowski | | 2023 |
| Full Paper: Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development D Staegemann, N Schröder, C Daase, C Haertel, M Pohl, R Häusler, ... | | 2023 |
Abdulrahman NahhasResearch Associat at the Very Larg Business Application Lab, University of MagdeburgVerified email at ovgu.de
