Daniel Staegemann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 76

Top Topics

Test Driven Development

Monte Carlo Simulation

Top Venues

Publications

Pouya Ataei, Sri Regula, Christian Haertel, Daniel Staegemann
Impact of Big Data Analytics on Business Performance: A systematic Literature Review. AMCIS (2024)
Christian Haertel, Vincent Donat, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenges in Data Science Project Management: A Case Study in a European OEM. AMCIS (2024)
Matthias Volk, Daniel Staegemann, Muralidhar Kuluru, Eugen Martel, Klaus Turowski
A Low-Cost Autograder Approach utilizing Serverless Cloud Technologies for Higher Educational Institutions (HEI). PACIS (2024)
Sebastian Rosenkranz, Daniel Staegemann, Matthias Volk, Klaus Turowski
Explaining the Business-Technological Age of Legacy Information Systems. IEEE Access 12 (2024)
Matthias Pohl, Hannah Giegold, Christian Haertel, Daniel Staegemann, Klaus Turowski
Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. BIOSTEC (2) (2024)
Robert Häusler, Daniel Staegemann, Klaus Turowski
Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education. CSEDU (1) (2024)
Christian Daase, Daniel Staegemann, Klaus Turowski
Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. IoTBDS (2024)
Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski
A Methodology for Constructing Patterns for the Management of Data Science Projects. ICEIS (1) (2024)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Naoum Jamous, Klaus Turowski
Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. AMCIS (2023)
Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS (2023)
Christian Daase, Anuraag Pandey, Daniel Staegemann, Klaus Turowski
Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. ICINCO (1) (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
Data Valuation Methods - A Literature Review. AMCIS (2023)
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
MLOps in Data Science Projects: A Review. BigData (2023)
Pouya Ataei, Daniel Staegemann
Application of microservices patterns to big data systems. J. Big Data 10 (1) (2023)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS (2023)
Tobias Altenburg, Daniel Staegemann, Klaus Turowski
Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis. ICSBT (2023)
Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski
Towards the Application of Test Driven Development in Big Data Engineering. ICIT (2023)
Mohammad Abdallah, Alaa Hammad, Daniel Staegemann
A Data Collection Quality Model for Big Data Systems. ICIT (2023)
Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski
On the Challenges of Applying Test Driven Development to the Engineering of Big Data Applications. ICSBT (2023)
Robert Häusler, Malte Rathjens, Daniel Staegemann, Klaus Turowski
Towards an Evaluation Concept for Business Simulation Games: Preliminary Work and Piloting in SAP ERP Teaching. ICSBT (2023)
Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski
The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. ICEIS (2) (2023)
Christian Daase, Daniel Staegemann, Matthias Volk, Klaus Turowski
Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices. J. Softw. 18 (2) (2023)
Tobias Altenburg, Daniel Staegemann, Matthias Volk, Klaus Turowski
Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation. SN Comput. Sci. 4 (5) (2023)
Christian Daase, Daniel Staegemann, Anastasija Nikiforova, Victor Chang, Johannes Hintsch, Matthias Volk, Klaus Turowski
Towards the Creation of a Holistic Video Analytics Platform for Retail Environments. ICSBT (2023)
Ksenia Neumann, Damanpreet Singh Walia, Daniel Staegemann, Robert Häusler, Stefan Weidner, Klaus Turowski
Towards a German National Education Platform. SoftCOM (2023)
Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. ISD (2023)
Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski
A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. ICINCO (1) (2023)
Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski
Exploring the Test Driven Development of an Information Retrieval System. ICSBT (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
The Linkage to Business Goals in Data Science Projects. ACIS (2023)
Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski
An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. SITIS (2023)
Daniel Staegemann, Matthias Volk, Klaus Turowski
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. ICSBT (2022)
Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. Complex Syst. Informatics Model. Q. 31 (2022)
Daniel Staegemann, René Degenkolbe, Stefan Weidner, Robert Häusler, Vinzent Lange, Klaus Turowski
Possible Application Scenarios for a German National Education Platform. CSEDU (1) (2022)
Daniel Staegemann, Matthias Volk, Maneendra Perera, Klaus Turowski
Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform. KDIR (2022)
Matthias Volk, Daniel Staegemann, Ashraful Islam, Klaus Turowski
Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping. HICSS (2022)
Sven Timmermann, Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Johannes Hintsch, Klaus Turowski
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. FEMIB (2022)
Tobias Altenburg, Matthias Volk, Daniel Staegemann, Klaus Turowski
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. IoTBDS (2022)
Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. Big Data (2022)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
A Process Model for Test Driven Development in the Big Data Domain. KDIR (2022)
Matthias Volk, Daniel Staegemann, Klaus Turowski
Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. KDIR (2022)
Matthias Volk, Daniel Staegemann, Akanksha Saxena, Johannes Hintsch, Naoum Jamous, Klaus Turowski
Lowering Big Data Project Barriers: Identifying System Architecture Templates for Standard Use Cases in Big Data. ICSBT (2022)
Daniel Staegemann, Matthias Volk, Priyanka Byahatti, Nikhilkumar Italiya, Suhas Shantharam, Apoorva Byaladakere Chandrashekar, Klaus Turowski
Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case. IoTBDS (2022)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS (2022)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. 11 (4) (2021)
Johannes Hintsch, Daniel Staegemann, Matthias Volk, Klaus Turowski
Low-code Development Platform Usage: Towards Bringing Citizen Development and Enterprise IT into Harmony. ACIS (2021)
Daniel Staegemann, Matthias Volk, Erik Lautenschläger, Matthias Pohl, Mohammad Abdallah, Klaus Turowski
Applying Test Driven Development in the Big Data Domain - Lessons From the Literature. ICIT (2021)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
A Preliminary Overview of the Situation in Big Data Testing. IoTBDS (2021)
Daniel Staegemann, Matthias Volk, Klaus Turowski
Quality Assurance in Big Data Engineering - A Metareview. Complex Syst. Informatics Model. Q. 28 (2021)
Daniel Staegemann, Matthias Volk, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski
Challenges in Data Acquisition and Management in Big Data Environments. IoTBDS (2021)
Daniel Staegemann, Matthias Volk, Aamir Shakir, Erik Lautenschläger, Klaus Turowski
Examining the Interplay Between Big Data and Microservices - A Bibliometric Review. Complex Syst. Informatics Model. Q. 27 (2021)
Daniel Staegemann, Matthias Volk, Christian Daase, Matthias Pohl, Klaus Turowski
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. ICICT (2) (2021)
Matthias Volk, Daniel Staegemann, Dennis Bischoff, Klaus Turowski
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies. AMCIS (2021)
Robert Häusler, Marcus Tröger, Daniel Staegemann, Matthias Volk, Klaus Turowski
Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games. CSEDU (1) (2021)
Naoum Jamous, Gaurav Garttan, Daniel Staegemann, Matthias Volk
Hybrid Project Management Methods Efficiency in IT Projects. AMCIS (2021)
Aamir Shakir, Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Towards a Concept for Building a Big Data Architecture with Microservices. BIS (2021)
Daniel Staegemann, Hannes Feuersenger, Matthias Volk, Patrick Liedtke, Hans-Knud Arndt, Klaus Turowski
Investigating the Incorporation of Big Data in Management Information Systems. BIS (Workshops) (2021)
Daniel Staegemann, Matthias Volk, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Classifying Big Data Taxonomies: A Systematic Literature Review. IoTBDS (2020)
Robert Häusler, Daniel Staegemann, Matthias Volk, Sascha Bosse, Christian Bekel, Klaus Turowski
Generating Content-Compliant Training Data in Big Data Education. CSEDU (1) (2020)
Matthias Volk, Daniel Staegemann, Ivayla Trifonova, Sascha Bosse, Klaus Turowski
Identifying Similarities of Big Data Projects-A Use Case Driven Approach. IEEE Access 8 (2020)
Matthias Volk, Daniel Staegemann, Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski
Towards a Decision Support System for Big Data Projects. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Exploring the Applicability of Test Driven Development in the Big Data Domain. ACIS (2020)
Daniel Staegemann, Matthias Volk, Christian Daase, Klaus Turowski
Discussing Relations Between Dynamic Business Environments and Big Data Analytics. Complex Syst. Informatics Model. Q. 23 (2020)
Daniel Staegemann, Matthias Volk, Tuan Vu, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. IoTBDS (2020)
Matthias Volk, Daniel Staegemann, Felix Prothmann, Klaus Turowski
Towards an Automatized Way for Modeling Big Data System Architectures. BIS (2020)
Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS (2020)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB (2020)
Matthias Volk, Daniel Staegemann, Sascha Bosse, Robert Häusler, Klaus Turowski
Approaching the (Big) Data Science Engineering Process. IoTBDS (2020)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Ranjan Venkatesh, Stefan Willi Hart, Sascha Bosse, Klaus Turowski
Improving the Quality Validation of the ETL Process using Test Automation. AMCIS (2020)
Christian Daase, Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Klaus Turowski
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. ACIS (2020)
Matthias Volk, Daniel Staegemann, Naoum Jamous, Matthias Pohl, Klaus Turowski
Providing Clarity on Big Data Technologies: The BDTOnto Ontology. Int. J. Intell. Inf. Technol. 16 (2) (2020)
Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
Exploring the Specificities and Challenges of Testing Big Data Systems. SITIS (2019)
Daniel Staegemann, Johannes Hintsch, Klaus Turowski
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications. Wirtschaftsinformatik (2019)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Understanding Issues in Big Data Applications - A Multidimensional Endeavor. AMCIS (2019)
Daniel Staegemann, Matthias Volk, Christian Lucht, Christian Klie, Michael Hintze, Klaus Turowski
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises. BIS (2) (2019)
Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS (2019)
Abdulrahman Nahhas, Sascha Bosse, Daniel Staegemann, Matthias Volk, Klaus Turowski
A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. SITIS (2019)