Publikationen

Supporting refactoring of BDD specifications—An empirical study

Irshad, M. ., Börstler, J. ., & Petersen, K. . (2022). Supporting refactoring of BDD specifications—An empirical study. Information and Software Technology, 141, 106717.
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  Petersen, Kai
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
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Exploring the Measurement Lab Open Dataset for Internet Performance Evaluation: The German Internet Landscape

Lübben, R. ., & Misfeld, N. . (2022). Exploring the Measurement Lab Open Dataset for Internet Performance Evaluation: The German Internet Landscape. Electronics, 11. http://doi.org/10.3390/electronics11010162

Abstract

The Measurement Lab (MLab) provides a large and open collection of Internet performance measurements. We make use of it to look at the state of the German Internet by a structured analysis, in which we carve out expressive results from the dataset to identify busy hours and days, the impact of server locations and congestion control protocols, and compare Internet service providers. Moreover, we examine the impact of the COVID-19 lockdown in Germany. We observe that only parts of the Internet show a performance degradation at the beginning of the lockdown and that a large impact in performance depends on the network the servers are located in. Furthermore, the evolution of congestion control algorithms is reflected by performance improvements. For our analysis, we focus on the busy hours. From the end-user perspective, this time is of most interest to identify if the network can support challenging services such as video streaming or cloud gaming at these intervals.
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- Personenseiten
  
  Lübben, Ralf
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
- Forschungsfeld
  
  Data Science und Künstliche Intelligenz
- Fachbereich
  
  Fachbereich 4: Wirtschaft
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Forecasting TCP s Rate to Speed up Slow Start

Lübben, R. . (2022). Forecasting TCP s Rate to Speed up Slow Start. IEEE Open Journal of the Computer Society, 1–9. http://doi.org/10.1109/OJCS.2022.3208701
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- DOI Verweis
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- Personenseiten
  
  Lübben, Ralf
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
- Forschungsfeld
  
  Data Science und Künstliche Intelligenz
- Fachbereich
  
  Fachbereich 4: Wirtschaft
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Exploring the Measurement Lab Open Dataset for Internet Performance Evaluation: The German Internet Landscape

Lübben, R. ., & Misfeld, N. . (2022). Exploring the Measurement Lab Open Dataset for Internet Performance Evaluation: The German Internet Landscape. Electronics, 11. http://doi.org/10.3390/electronics11010162

Abstract

The Measurement Lab (MLab) provides a large and open collection of Internet performance measurements. We make use of it to look at the state of the German Internet by a structured analysis, in which we carve out expressive results from the dataset to identify busy hours and days, the impact of server locations and congestion control protocols, and compare Internet service providers. Moreover, we examine the impact of the COVID-19 lockdown in Germany. We observe that only parts of the Internet show a performance degradation at the beginning of the lockdown and that a large impact in performance depends on the network the servers are located in. Furthermore, the evolution of congestion control algorithms is reflected by performance improvements. For our analysis, we focus on the busy hours. From the end-user perspective, this time is of most interest to identify if the network can support challenging services such as video streaming or cloud gaming at these intervals.
- Suche auf Google Scholar
- DOI Verweis
Exportformate
Weiterführende Links
- Personenseiten
  
  Lübben, Ralf
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
- Forschungsfeld
  
  Data Science und Künstliche Intelligenz
- Fachbereich
  
  Fachbereich 4: Wirtschaft
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Fast Reinjection for Intermittent MPTCP Connections

Lübben, R. ., Gübner, S. ., & Wette, P. . (2021). Fast Reinjection for Intermittent MPTCP Connections. In Proc. IEEE VTC. (Original work published 2025)
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Weiterführende Links
- Personenseiten
  
  Lübben, Ralf
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
- Fachbereich
  
  Fachbereich 4: Wirtschaft
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Fast Reinjection for Intermittent MPTCP Connections

Lübben, R. ., Gübner, S. ., & Wette, P. . (2021). Fast Reinjection for Intermittent MPTCP Connections. In Proc. IEEE VTC. (Original work published 2025)
- Suche auf Google Scholar
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Weiterführende Links
- Personenseiten
  
  Lübben, Ralf
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
- Fachbereich
  
  Fachbereich 4: Wirtschaft
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\# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter

Petersen, K. ., & Gerken, J. M. (2021). \# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter. Health Policy.
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  Petersen, Kai
  
  Gerken, Jan
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
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Adapting Behavior Driven Development (BDD) for large-scale software systems

Irshad, M. ., Britto, R. ., & Petersen, K. . (2021). Adapting Behavior Driven Development (BDD) for large-scale software systems. Journal of Systems and Software, 177, 110944.
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- Personenseiten
  
  Petersen, Kai
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
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\# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter

Petersen, K. ., & Gerken, J. M. (2021). \# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter. Health Policy.
- Suche auf Google Scholar
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- Personenseiten
  
  Petersen, Kai
  
  Gerken, Jan
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
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Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap

Wohlin, C. ., Papatheocharous, E. ., Carlson, J. ., Petersen, K. ., egroth, E. A., Axelsson, J. ., … others, . . (2021). Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap. Journal of Software: Evolution and Process, 33, e2345.
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Weiterführende Links
- Personenseiten
  
  Petersen, Kai
- Abteilung/Einrichtung
  
  FLAIR - Flensburg Artificial Intelligence Research
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