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Norbert Siegmund

Norbert Siegmund

D-Index & Metrics

Computer Science

D-Index
31
Citations
4239
World Ranking
13634
National Ranking
656

Overview

Norbert Siegmund is affiliated with Leipzig University in Germany and specializes in computer science with a significant focus on software system performance and reliability. Their research spans several main fields within computer science, including computer networks and communications, information systems, artificial intelligence, software, and computer science applications.

The primary topics of Siegmund's research include software system performance and reliability, software engineering research, advanced software engineering methodologies, software reliability and analysis, service-oriented architecture and web services, teaching and learning programming, and AI in service interactions.

Their recent notable papers include the following:

  • The Interplay of Sampling and Machine Learning for Software Performance Prediction, 2020, IEEE Software
  • On debugging the performance of configurable software systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?, 2022, Computer
  • "Ok Pal, we have to code that now": interaction patterns of programming beginners with a conversational chatbot, 2024, Empirical Software Engineering
  • Levels of Automation in Urban Design Through Artificial Intelligence: A Framework to Characterize Automation Approaches, 2020, Built Environment

Siegmund collaborates frequently with several coauthors, including Sven Apel with 22 joint publications, Christian Kaltenecker with 10, Johannes Dorn with 8, Florian Sattler also with 8, and Stefan Mühlbauer with 5 publications.

Their work has appeared repeatedly in prominent venues. The most frequent publication venues include:

  • arXiv (Cornell University) with 7 publications
  • Empirical Software Engineering with 6 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 6 publications
  • ACM Transactions on Software Engineering and Methodology with 2 publications
  • IEEE Software with 1 publication

The broad fields they have contributed to reflect an interdisciplinary approach combining software engineering, performance analysis, and artificial intelligence, addressing challenges such as configuration debugging, energy-efficient AI application in software, and automation in urban design through AI frameworks.

Best Publications

  • Performance-influence models for highly configurable systems

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

  • Predicting performance via automated feature-interaction detection

    Norbert Siegmund;Sergiy S. Kolesnikov;Christian Kastner;Sven Apel

  • SPL Conqueror: Toward optimization of non-functional properties in software product lines

    Norbert Siegmund;Marko Rosenmüller;Martin Kuhlemann;Christian Kästner

  • Abstract Features in Feature Modeling

    Thomas Thum;Christian Kastner;Sebastian Erdweg;Norbert Siegmund

  • Variability-aware performance prediction: a statistical learning approach

    Jianmei Guo;Krzysztof Czarnecki;Sven Apely;Norbert Siegmundy

  • Views on internal and external validity in empirical software engineering

    Janet Siegmund;Norbert Siegmund;Sven Apel

  • Cost-Efficient Sampling for Performance Prediction of Configurable Systems (T)

    Atri Sarkar;Jianmei Guo;Norbert Siegmund;Sven Apel

  • Finding near-optimal configurations in product lines by random sampling

    Jeho Oh;Don Batory;Margaret Myers;Norbert Siegmund

  • Predicting performance via automated feature-interaction detection

    Unknown

  • Views on Internal and External Validity in Empirical Software Engineering

    Unknown

  • Using bad learners to find good configurations

    Vivek Nair;Tim Menzies;Norbert Siegmund;Sven Apel

  • Scalable prediction of non-functional properties in software product lines: Footprint and memory consumption

    Norbert Siegmund;Marko RosenmüLler;Christian KäStner;Paolo G. Giarrusso

  • Data-efficient performance learning for configurable systems

    Jianmei Guo;Dingyu Yang;Norbert Siegmund;Sven Apel

  • Automating the Configuration of Multi Software Product Lines.

    Marko Rosenmüller;Norbert Siegmund

  • GPU-Accelerated Database Systems: Survey and Open Challenges

    Sebastian Breß;Max Heimel;Norbert Siegmund;Ladjel Bellatreche

  • Finding Faster Configurations Using FLASH

    Vivek Nair;Zhe Yu;Tim Menzies;Norbert Siegmund

  • Multi-dimensional variability modeling

    Marko Rosenmüller;Norbert Siegmund;Thomas Thüm;Gunter Saake

  • Transfer learning for improving model predictions in highly configurable software

    Pooyan Jamshidi;Miguel Velez;Christian Kastner;Norbert Siegmund

  • Transfer learning for performance modeling of configurable systems: an exploratory analysis

    Pooyan Jamshidi;Norbert Siegmund;Miguel Velez;Christian Kastner

  • Exploring feature interactions in the wild: the new feature-interaction challenge

    Sven Apel;Sergiy Kolesnikov;Norbert Siegmund;Christian Kästner

  • Scalable Prediction of Non-functional Properties in Software Product Lines

    Norbert Siegmund;Marko Rosenmuller;Christian Kastner;Paolo G. Giarrusso

  • Distance-based sampling of software configuration spaces

    Christian Kaltenecker;Alexander Grebhahn;Norbert Siegmund;Jianmei Guo

  • FAME-DBMS: tailor-made data management solutions for embedded systems

    Marko Rosenmüller;Norbert Siegmund;Horst Schirmeier;Julio Sincero

  • Tailoring dynamic software product lines

    Marko Rosenmüller;Norbert Siegmund;Mario Pukall;Sven Apel

  • Performance-Influence Models.

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

Frequent Co-Authors

Sven Apel
Sven Apel Saarland University
Gunter Saake
Gunter Saake Otto-von-Guericke University Magdeburg
Christian Kästner
Christian Kästner Carnegie Mellon University
Pooyan Jamshidi
Pooyan Jamshidi University of South Carolina
Thomas Thüm
Thomas Thüm University of Ulm
Tim Menzies
Tim Menzies North Carolina State University
Don Batory
Don Batory The University of Texas at Austin
Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Yuvraj Agarwal
Yuvraj Agarwal Carnegie Mellon University
Christian Lengauer
Christian Lengauer University of Passau

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