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ORCIDKlaus Turowski
Person information
- affiliation: University of Magdeburg, Faculty of Computer Science, Germany
- affiliation: University of Augsburg, Business Faculty, Germany
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2020 – today
- 2023
[j31]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)- [j30]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) - [c176]Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski:
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS 2023 - [c175]Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Data Valuation Methods - A Literature Review. AMCIS 2023 - [c174]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 - [c173]Matthias Pohl
, Christian Haertel, Klaus Turowski:
Value Creation from Data Science Applications - A Literature Review. BIR 2023: 327-338 - [c172]Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski:
Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud. CLOSER 2023: 139-146 - [c171]Maria Chernigovskaya, Andrey Kharitonov, Klaus Turowski:
A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms. CLOSER 2023: 236-243 - [c170]Christian Daase, Klaus Turowski:
Conducting Design Science Research in Society 5.0 - Proposal of an Explainable Artificial Intelligence Research Methodology. DESRIST 2023: 250-265 - [c169]Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski:
A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods. HICSS 2023: 1580-1589 - [c168]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 - [c167]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 - [c166]Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski:
Towards the Application of Test Driven Development in Big Data Engineering. ICIT 2023: 163-167 - [c165]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 - [c164]Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski:
Exploring the Test Driven Development of an Information Retrieval System. ICSBT 2023: 104-113 - [c163]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 - [c162]Tobias Altenburg, Daniel Staegemann, Klaus Turowski:
Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis. ICSBT 2023: 203-208 - [c161]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 - 2022
- [j29]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) - [j28]Hendrik Müller, Andrey Kharitonov, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski:
Addressing IT Capacity Management Concerns Using Machine Learning Techniques. SN Comput. Sci. 3(1): 26 (2022) - [c160]Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski:
Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics. ACIS 2022: 48 - [c159]Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski:
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS 2022 - [c158]Matthias Pohl, Daniel Gunnar Staegemann, Klaus Turowski:
The Performance Benefit of Data Analytics Applications. ANT/EDI40 2022: 679-683 - [c157]Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. IEEE Big Data 2022: 2645-2654 - [c156]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 - [c155]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 - [c154]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 - [c153]Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski:
Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). HICSS 2022: 1-10 - [c152]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 - [c151]Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
A Process Model for Test Driven Development in the Big Data Domain. KDIR 2022: 109-118 - [c150]Matthias Volk, Daniel Staegemann, Klaus Turowski:
Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. KDIR 2022: 141-148 - [c149]Azeem Lodhi, Gunter Saake, Klaus Turowski:
Empirical Evaluation of BPMN Extension Language. KDIR 2022: 239-247 - [c148]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 - [c147]Daniel Staegemann, Matthias Volk, Klaus Turowski:
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. ICSBT 2022: 120-129 - [c146]Tobias Altenburg, Matthias Volk, Daniel Staegemann, Klaus Turowski:
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. IoTBDS 2022: 47-54 - [c145]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 - [c144]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
- [j27]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) - [j26]Daniel Staegemann, Matthias Volk, Klaus Turowski:
Quality Assurance in Big Data Engineering - A Metareview. Complex Syst. Informatics Model. Q. 28: 1-14 (2021) - [j25]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) - [c143]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 - [c142]Matthias Volk, Daniel Staegemann, Dennis Bischoff, Klaus Turowski:
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies. AMCIS 2021 - [c141]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 - [c140]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 - [c139]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 - [c138]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 - [c137]Abdulrahman Nahhas, Jahnavi Thimmaiah Cheyyanda, Klaus Turowski:
An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers. HICSS 2021: 1-10 - [c136]Abdulrahman Nahhas, Marco Krist, Klaus Turowski:
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems. HICSS 2021: 1-10 - [c135]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 - [c134]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 - [c133]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 - [c132]Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM 2021: 1288-1297 - [c131]Abdulrahman Nahhas, Andrey Kharitonov, Ahmad Alwadi, Klaus Turowski:
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times. ISM 2021: 1685-1694 - 2020
- [j24]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) - [j23]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) - [j22]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) - [c130]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 - [c129]Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
Exploring the Applicability of Test Driven Development in the Big Data Domain. ACIS 2020: 37 - [c128]Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski:
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS 2020: 48 - [c127]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 - [c126]Matthias Volk, Daniel Staegemann, Felix Prothmann, Klaus Turowski:
Towards an Automatized Way for Modeling Big Data System Architectures. BIS 2020: 46-60 - [c125]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 - [c124]Philipp Stecher, Matthias Pohl, Klaus Turowski:
Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective. ECIS 2020 - [c123]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 - [c122]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 - [c121]Tobias Altenburg, Sascha Bosse, Klaus Turowski:
Safety in Distributed Sensor Networks: A Literature Review. IoTBDS 2020: 161-168 - [c120]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 - [c119]Matthias Volk, Daniel Staegemann, Sascha Bosse, Robert Häusler, Klaus Turowski:
Approaching the (Big) Data Science Engineering Process. IoTBDS 2020: 428-435 - [c118]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 - [c117]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 - [c116]Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski:
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers. Wirtschaftsinformatik (Zentrale Tracks) 2020: 1349-1363
2010 – 2019
- 2019
- [j21]Junjie Song, Naoum Jamous, Klaus Turowski:
A dynamic perspective: local interactions driving the spread of social networks. Enterp. Inf. Syst. 13(2): 219-235 (2019) - [c115]Ahmad Alwadi, Abdulrahman Nahhas, Sascha Bosse, Naoum Jamous, Klaus Turowski:
A Modernized Model for Performance Requirements and Their Interdependencies. AICCSA 2019: 1-8 - [c114]Robert Häusler, Chris Bernhardt, Sascha Bosse, Klaus Turowski:
A Review of the Literature on Teaching and Learning Environments. AMCIS 2019 - [c113]Jesse Roberts, Matthias Volk, Robert Neumann, Klaus Turowski:
Machine Learning Techniques for Annotations of Large Financial Text Datasets. AMCIS 2019 - [c112]Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski:
Understanding Issues in Big Data Applications - A Multidimensional Endeavor. AMCIS 2019 - [c111]Matthias Volk, Sascha Bosse, Dennis Bischoff, Klaus Turowski:
Decision-Support for Selecting Big Data Reference Architectures. BIS (1) 2019: 3-17 - [c110]Johannes Hintsch, Klaus Turowski:
Enterprise Computing: A Case Study on Current Practices in SAP Operations. BIS (Workshops) 2019: 124-135 - [c109]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 - [c108]Abdulrahman Nahhas, Sascha Bosse, Matthias Pohl, Klaus Turowski:
Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. CLOSER 2019: 471-478 - [c107]Matthias Pohl, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski:
Proof of Provision: Improving Blockchain Technology by Cloud Computing. CLOSER 2019: 523-527 - [c106]Sascha Bosse, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Towards an Automated Optimization-as-a-Service Concept. IoTBDS 2019: 339-343 - [c105]Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski:
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS 2019: 351-358 - [c104]Hendrik Müller, Sascha Bosse, Klaus Turowski:
On the Utility of Machine Learning for Service Capacity Management of Enterprise Applications. SITIS 2019: 274-281 - [c103]Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski:
Exploring the Specificities and Challenges of Testing Big Data Systems. SITIS 2019: 289-295 - [c102]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 - [c101]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 - 2018
- [j20]Johannes Hintsch, Frederik Kramer, Klaus Turowski:
An information system architecture for build- and engineer-to-order production of application services. Inf. Syst. E Bus. Manag. 16(3): 649-682 (2018) - [c100]Matthias Volk, Matthias Pohl, Klaus Turowski:
Classifying Big Data Technologies - An Ontology-based Approach. AMCIS 2018 - [c99]Johannes Hintsch, Karthik Gali, Naoum Jamous, Klaus Turowski:
An Application System Landscape Engineering Process Framework (ASLEP). AMCIS 2018 - [c98]Matthias Pohl, Sascha Bosse, Klaus Turowski:
A Data-Science-as-a-Service Model. CLOSER 2018: 432-439 - [c97]Ahmad Alwadi, Abdulrahman Nahhas, Sascha Bosse, Naoum Jamous, Klaus Turowski:
Toward a Performance Requirements Model for the Early Design Phase of IT Systems. ES 2018: 9-16 - [c96]Abdulrahman Nahhas, Sebastian Lang, Sascha Bosse, Klaus Turowski:
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0. ES 2018: 108-115 - [c95]Matthias Pohl, Janick Kubela, Sascha Bosse, Klaus Turowski:
Performance Evaluation of Application Layer Protocols for the Internet-of-Things. ES 2018: 180-187 - [c94]Janick Kubela, Matthias Pohl, Sascha Bosse, Klaus Turowski:
Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture. IoTBDS 2018: 229-236 - 2017
- [j19]Hendrik Müller, Sascha Bosse, Klaus Turowski:
Capacity Management as a Service for Enterprise Standard Software. Complex Syst. Informatics Model. Q. 13: 1-21 (2017) - [c93]Matthias Volk, Naoum Jamous, Klaus Turowski:
Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects. AMCIS 2017 - [c92]Matthias Volk, Abed Elrahman Shareef, Naoum Jamous, Klaus Turowski:
New E-Commerce User Interest Patterns. BigData Congress 2017: 406-413 - [c91]Hendrik Müller, Sascha Bosse, Markus Wirth, Klaus Turowski:
Collaborative Software Performance Engineering for Enterprise Applications. HICSS 2017: 1-10 - [c90]Ateeq Khan, Johannes Hintsch, Gunter Saake, Klaus Turowski:
Variability management in Infrastructure as a Service: Scenarios in cloud deployment models. ICNC 2017: 724-728 - [c89]Ateeq Khan, Matthias Pohl, Veit Köppen, Gunter Saake, Klaus Turowski:
An Evaluation of Variability Mechanisms to Manage Cloud Services. ICE-B 2017: 100-107 - [c88]Ateeq Khan, Matthias Pohl, Sascha Bosse, Stefan Willi Hart, Klaus Turowski:
A Holistic View of the IoT Process from Sensors to the Business Value. IoTBDS 2017: 392-399 - [c87]Hendrik Müller, Sascha Bosse, Matthias Pohl, Klaus Turowski:
Capacity Planning as a Service for Enterprise Standard Software. CBI (1) 2017: 167-175 - [c86]Matthias Volk, Sascha Bosse, Klaus Turowski:
Providing Clarity on Big Data Technologies: A Structured Literature Review. CBI (1) 2017: 388-397 - [c85]Sascha Bosse, Hendrik Müller, Klaus Turowski:
Integrated Optimization of IT Service Performance and Availability Using Performability Prediction Models. Wirtschaftsinformatik 2017 - 2016
- [j18]Sascha Bosse, Matthias Splieth, Klaus Turowski:
Multi-objective optimization of IT service availability and costs. Reliab. Eng. Syst. Saf. 147: 142-155 (2016) - [c84]Matthias Volk, Stefan Willi Hart, Sascha Bosse, Klaus Turowski:
How much is Big Data? A Classification Framework for IT Projects and Technologies. AMCIS 2016 - [c83]Hendrik Müller, Carsten Görling, Johannes Hintsch, Matthias Splieth, Sebastian Starke, Klaus Turowski:
Monitoring Energy Consumption on the Service Level - A Procedure Model for Multitenant ERP Systems. CLOSER (2) 2016: 215-222 - [c82]Ateeq Khan, Johannes Hintsch, Klaus Turowski, Gunter Saake:
Variability Management in IaaS. CloudCom 2016: 75-78 - [c81]Johannes Hintsch, Carsten Görling, Klaus Turowski:
A Review of the Literature on Configuration Management Tools. CONF-IRM 2016: 71 - [c80]Naoum Jamous, Sascha Bosse, Carsten Görling, Johannes Hintsch, Ateeq Khan, Frederik Kramer, Hendrik Müller, Klaus Turowski:
Towards an IT Service Lifecycle Management (ITSLM) Concept. ES 2016: 29-38 - [c79]Naoum Jamous, Stefan Willi Hart, Matthias Volk, Klaus Turowski:
The I-ID - An IT Solution to Supplement Conventional Identification Cards: The Air Transportation Systems Use Case. ES 2016: 68-75 - [c78]Johannes Hintsch, Frederik Kramer, Naoum Jamous, Klaus Turowski:
The Application System Landscapes of IT Service Providers: A Multi Case Study. ES 2016: 122-131 - [c77]Junjie Song, Naoum Jamous, Klaus Turowski:
Influence in Social Media Marketing: A Quantitative Evaluation Framework from a Large Scale of Empirical Evidence. ES 2016: 136-142 - [c76]