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Daniel Gunnar Staegemann

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Journal Articles

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2024
[j12]
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  - journals/access/RosenkranzSVT24
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Sebastian Rosenkranz, Daniel Staegemann, Matthias Volk, Klaus Turowski:
Explaining the Business-Technological Age of Legacy Information Systems. IEEE Access 12: 84579-84611 (2024)
[j11]
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Christian Haertel, Vincent Donat, Daniel Staegemann, Christian Daase, Marco Finkendei, Klaus Turowski:
The Application of Data Science at Original Equipment Manufacturers: A Literature Review. IEEE Access 12: 114584-114600 (2024)
2023
[j10]
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Pouya Ataei, Daniel Staegemann:
Application of microservices patterns to big data systems. J. Big Data 10(1): 56 (2023)
[j9]
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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): 55-69 (2023)
[j8]
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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): 438 (2023)
2022
[j7]
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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: 18-28 (2022)
2021
[j6]
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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: 87-118 (2021)
[j5]
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Daniel Staegemann, Matthias Volk, Klaus Turowski:
Quality Assurance in Big Data Engineering - A Metareview. Complex Syst. Informatics Model. Q. 28: 1-14 (2021)
[j4]
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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): 35-54 (2021)
2020
[j3]
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Matthias Volk, Daniel Staegemann, Ivayla Trifonova, Sascha Bosse, Klaus Turowski:
Identifying Similarities of Big Data Projects-A Use Case Driven Approach. IEEE Access 8: 186599-186619 (2020)
[j2]
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Daniel Staegemann, Matthias Volk, Christian Daase, Klaus Turowski:
Discussing Relations Between Dynamic Business Environments and Big Data Analytics. Complex Syst. Informatics Model. Q. 23: 58-82 (2020)
[j1]
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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): 49-73 (2020)

Conference and Workshop Papers

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2024
[c70]
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Pouya Ataei, Sri Regula, Christian Haertel, Daniel Staegemann:
Impact of Big Data Analytics on Business Performance: A systematic Literature Review. AMCIS 2024
[c69]
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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
[c68]
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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: 803-811
[c67]
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Robert Häusler, Daniel Staegemann, Klaus Turowski:
Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education. CSEDU (1) 2024: 494-501
[c66]
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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: 354-365
[c65]
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Daniel Staegemann, Malte Rathjens, Hannes Hinniger, Vivian Schmidt, Klaus Turowski:
Exploring the Test Driven Development of a Big Data Infrastructure Examining Gun Violence Incidents in the United States of America. ICSBT 2024: 103-114
[c64]
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Andrey Kharitonov, Amro Abdalla, Abdulrahman Nahhas, Daniel Gunnar Staegemann, Christian Haertel, Christian Daase, Klaus Turowski:
A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. ICSOFT 2024: 15-22
[c63]
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Christian Daase, Daniel Staegemann, Klaus Turowski:
Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. IoTBDS 2024: 358-369
[c62]
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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
2023
[c61]
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Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
The Linkage to Business Goals in Data Science Projects. ACIS 2023
[c60]
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  - conf/amcis/HaertelPNST23
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Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski:
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS 2023
[c59]
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Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Data Valuation Methods - A Literature Review. AMCIS 2023
[c58]
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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
[c57]
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Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski:
MLOps in Data Science Projects: A Review. IEEE Big Data 2023: 2396-2404
[c56]
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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: 294-302
[c55]
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Matthias Pohl, René Degenkolbe, Daniel Gunnar Staegemann, Klaus Turowski:
Decentralised Autonomous Management of an Association Through Smart Contracts According to German Legislation. ICEIS (1) 2023: 212-218
[c54]
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Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski:
The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. ICEIS (2) 2023: 418-430
[c53]
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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: 335-341
[c52]
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Christian Daase, Anuraag Pandey, Daniel Staegemann, Klaus Turowski:
Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. ICINCO (1) 2023: 770-779
[c51]
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  - conf/icitjo/StaegemannVAT23
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Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski:
Towards the Application of Test Driven Development in Big Data Engineering. ICIT 2023: 163-167
[c50]
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Mohammad Abdallah, Alaa Hammad, Daniel Staegemann:
A Data Collection Quality Model for Big Data Systems. ICIT 2023: 168-172
[c49]
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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: 94-103
[c48]
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Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski:
Exploring the Test Driven Development of an Information Retrieval System. ICSBT 2023: 104-113
[c47]
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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: 129-135
[c46]
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Tobias Altenburg, Daniel Staegemann, Klaus Turowski:
Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis. ICSBT 2023: 203-208
[c45]
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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: 216-225
[c44]
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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
[c43]
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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: 30-37
[c42]
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Ksenia Neumann, Damanpreet Singh Walia, Daniel Staegemann, Robert Häusler, Stefan Weidner, Klaus Turowski:
Towards a German National Education Platform. SoftCOM 2023: 1-6
2022
[c41]
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Matthias Pohl, Daniel Gunnar Staegemann, Klaus Turowski:
The Performance Benefit of Data Analytics Applications. ANT/EDI40 2022: 679-683
[c40]
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Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. IEEE Big Data 2022: 2645-2654
[c39]
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Daniel Staegemann, René Degenkolbe, Stefan Weidner, Robert Häusler, Vinzent Lange, Klaus Turowski:
Possible Application Scenarios for a German National Education Platform. CSEDU (1) 2022: 361-368
[c38]
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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: 22-34
[c37]
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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: 1-10
[c36]
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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: 83-94
[c35]
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Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
A Process Model for Test Driven Development in the Big Data Domain. KDIR 2022: 109-118
[c34]
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Matthias Volk, Daniel Staegemann, Klaus Turowski:
Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. KDIR 2022: 141-148
[c33]
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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: 33-44
[c32]
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Daniel Staegemann, Matthias Volk, Klaus Turowski:
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. ICSBT 2022: 120-129
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Tobias Altenburg, Matthias Volk, Daniel Staegemann, Klaus Turowski:
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. IoTBDS 2022: 47-54
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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: 239-248
[c29]
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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: 242
2021
[c28]
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Johannes Hintsch, Daniel Staegemann, Matthias Volk, Klaus Turowski:
Low-code Development Platform Usage: Towards Bringing Citizen Development and Enterprise IT into Harmony. ACIS 2021: 11
[c27]
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Matthias Volk, Daniel Staegemann, Dennis Bischoff, Klaus Turowski:
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies. AMCIS 2021
[c26]
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Naoum Jamous, Gaurav Garttan, Daniel Staegemann, Matthias Volk:
Hybrid Project Management Methods Efficiency in IT Projects. AMCIS 2021
[c25]
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Aamir Shakir, Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
Towards a Concept for Building a Big Data Architecture with Microservices. BIS 2021: 83-94
[c24]
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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: 109-120
[c23]
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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: 511-516
[c22]
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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: 386-391
[c21]
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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: 281-289
[c20]
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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: 193-204
[c19]
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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: 296-302
2020
[c18]
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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: 15
[c17]
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Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
Exploring the Applicability of Test Driven Development in the Big Data Domain. ACIS 2020: 37
[c16]
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Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski:
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS 2020: 48
[c15]
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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
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Matthias Volk, Daniel Staegemann, Felix Prothmann, Klaus Turowski:
Towards an Automatized Way for Modeling Big Data System Architectures. BIS 2020: 46-60
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Robert Häusler, Daniel Staegemann, Matthias Volk, Sascha Bosse, Christian Bekel, Klaus Turowski:
Generating Content-Compliant Training Data in Big Data Education. CSEDU (1) 2020: 104-110
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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: 80-90
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Matthias Pohl, Ali Hashaam, Sascha Bosse, Daniel Gunnar Staegemann, Matthias Volk, Frederik Kramer, Klaus Turowski:
Application of NLP to determine the State of Issues in Bug Tracking Systems. ICDM (Workshops) 2020: 53-61
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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: 267-278
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Matthias Volk, Daniel Staegemann, Sascha Bosse, Robert Häusler, Klaus Turowski:
Approaching the (Big) Data Science Engineering Process. IoTBDS 2020: 428-435
[c8]
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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: 453-460
[c7]
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Matthias Volk, Daniel Staegemann, Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski:
Towards a Decision Support System for Big Data Projects. Wirtschaftsinformatik (Zentrale Tracks) 2020: 357-368
2019
[c6]
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Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
Understanding Issues in Big Data Applications - A Multidimensional Endeavor. AMCIS 2019
[c5]
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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: 257-268
[c4]
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Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski:
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS 2019: 351-358
[c3]
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Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski:
Exploring the Specificities and Challenges of Testing Big Data Systems. SITIS 2019: 289-295
[c2]
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Abdulrahman Nahhas, Sascha Bosse, Daniel Staegemann, Matthias Volk, Klaus Turowski:
A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. SITIS 2019: 327-334
[c1]
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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: 279-284

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