World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
16986
World Ranking
1989
National Ranking
1005

Overview

Christian Kästner is affiliated with Carnegie Mellon University in the United States and has a research focus primarily within the field of Computer Science. Their work spans multiple subfields including Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, and Software.

Their research topics encompass a range of areas such as Software Engineering Research, Advanced Malware Detection Techniques, Software System Performance and Reliability, Big Data and Business Intelligence, Scientific Computing and Data Management, Information and Cyber Security, as well as Software Engineering Techniques and Practices.

Among their recent publications are:

  • Collaboration challenges in building ML-enabled systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • When and How to Make Breaking Changes, 2021, ACM Transactions on Software Engineering and Methodology
  • Perceptions of open-source software developers on collaborations: An interview and survey study, 2021, Journal of Software Evolution and Process
  • Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code, 2021, 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • On debugging the performance of configurable software systems, 2022, Proceedings of the 44th International Conference on Software Engineering

Kästner's frequent co-authors include:

  • Nadia Nahar
  • Grace A. Lewis
  • Shurui Zhou
  • Alexandros Kapravelos
  • Yasemin Acar

The venues where Kästner has most often published comprise:

  • arXiv (Cornell University)
  • Proceedings of the 44th International Conference on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • SSRN Electronic Journal
  • Journal of Software Evolution and Process

Best Publications

  • Feature-Oriented Software Product Lines

    Sven Apel;Don Batory;Christian Kästner;Gunter Saake

  • Granularity in software product lines

    Christian Kästner;Sven Apel;Martin Kuhlemann

  • FeatureIDE: An extensible framework for feature-oriented software development

    Thomas Thüm;Christian Kästner;Fabian Benduhn;Jens Meinicke

  • An Overview of Feature-Oriented Software Development.

    Sven Apel;Christian Kästner

  • A Classification and Survey of Analysis Strategies for Software Product Lines

    Thomas Thüm;Sven Apel;Christian Kästner;Ina Schaefer

  • Reasoning about edits to feature models

    Thomas Thum;Don Batory;Christian Kastner

  • An analysis of the variability in forty preprocessor-based software product lines

    Jorg Liebig;Sven Apel;Christian Lengauer;Christian Kästner

  • FEATUREHOUSE: Language-independent, automated software composition

    Sven Apel;Christian Kastner;Christian Lengauer

  • FeatureIDE: A tool framework for feature-oriented software development

    Christian Kastner;Thomas Thum;Gunter Saake;Janet Feigenspan

  • Variability-aware parsing in the presence of lexical macros and conditional compilation

    Christian Kästner;Paolo G. Giarrusso;Tillmann Rendel;Sebastian Erdweg

  • Performance-influence models for highly configurable systems

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

  • Understanding understanding source code with functional magnetic resonance imaging

    Janet Siegmund;Christian Kästner;Sven Apel;Chris Parnin

  • 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

  • How to break an API: cost negotiation and community values in three software ecosystems

    Christopher Bogart;Christian Kästner;James Herbsleb;Ferdian Thung

  • Abstract Features in Feature Modeling

    Thomas Thum;Christian Kastner;Sebastian Erdweg;Norbert Siegmund

  • Scalable analysis of variable software

    Jörg Liebig;Alexander von Rhein;Christian Kästner;Sven Apel

  • SugarJ: library-based syntactic language extensibility

    Sebastian Erdweg;Tillmann Rendel;Christian Kästner;Klaus Ostermann

  • Type checking annotation-based product lines

    Christian Kästner;Sven Apel;Thomas Thüm;Gunter Saake

  • A comparison of 10 sampling algorithms for configurable systems

    Flavio Medeiros;Christian Kastner;Marcio Ribeiro;Rohit Gheyi

  • 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
Norbert Siegmund
Norbert Siegmund Leipzig University
Don Batory
Don Batory The University of Texas at Austin
Christian Lengauer
Christian Lengauer University of Passau
Klaus Ostermann
Klaus Ostermann University of Tübingen
Pooyan Jamshidi
Pooyan Jamshidi University of South Carolina
Thomas Thüm
Thomas Thüm University of Ulm
Tien N. Nguyen
Tien N. Nguyen The University of Texas at Dallas

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens up numerous opportunities for those interested in Computer Science and related fields. One major consideration is affordability. Many students look for affordable masters degrees to minimize student debt while gaining valuable skills.

For those seeking leadership roles, pursuing an online doctorate leadership program can lead to career advancement in tech management or academia. These programs are designed to be flexible and accessible, fitting around busy schedules.

If you’re just starting out, considering the easiest associate degree options can be a smart way to quickly enter the tech workforce or build a foundation for further study.

For educators and future academic leaders, finding the cheapest accredited online doctoral programs can help achieve advanced credentials without financial stress.

By researching and selecting the right online pathway, you can match your career goals with your budget and lifestyle, making an impactful step forward in the world of computer science and beyond.

Best Scientists Citing Christian Kästner

Trending Scientists

Recently Published Articles