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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
17389
World Ranking
1893
National Ranking
73

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2018 - ACM Distinguished Member

Overview

Sven Apel is affiliated with Saarland University in Germany and specializes in computer science, with a focus on software engineering research. Their body of work spans various subfields including information systems, computer networks and communications, artificial intelligence, software, and computer science applications.

The main topics addressed in their research include software engineering research, software system performance and reliability, advanced software engineering methodologies, open source software innovations, software reliability and analysis research, software engineering techniques and practices, and software testing and debugging techniques.

Among Sven Apel's recent papers are:

  • The Interplay of Sampling and Machine Learning for Software Performance Prediction, 2020, IEEE Software
  • In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study, 2021, IEEE Transactions on Software Engineering
  • Causality in configurable software systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Correlates of programmer efficacy and their link to experience: a combined EEG and eye-tracking study, 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • On debugging the performance of configurable software systems, 2022, Proceedings of the 44th International Conference on Software Engineering

Frequent co-authors collaborating with Sven Apel include Mitchell Joblin, Norbert Siegmund, Thomas Böck, Christian Kaltenecker, and Christof Tinnes.

Sven Apel's publications are often featured in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, and IEEE Transactions on Software Engineering.

In recognition of their contributions to the field, Sven Apel was named an ACM Distinguished Member in 2018.

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

  • 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

  • Feature-Oriented Software Product Lines: Concepts and Implementation

    Sven Apel;Don Batory;Christian Kstner;Gunter Saake

  • 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

  • Performance-influence models for highly configurable systems

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

  • FeatureC++: on the symbiosis of feature-oriented and aspect-oriented programming

    Sven Apel;Thomas Leich;Marko Rosenmüller;Gunter Saake

  • 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

  • Aspectual Feature Modules

    S. Apel;T. Leich;G. Saake

  • Variability-aware performance prediction: a statistical learning approach

    Jianmei Guo;Krzysztof Czarnecki;Sven Apely;Norbert Siegmundy

  • Scalable analysis of variable software

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

  • Type checking annotation-based product lines

    Christian Kästner;Sven Apel;Thomas Thüm;Gunter Saake

  • Strategies for product-line verification: case studies and experiments

    Sven Apel;Alexander von Rhein;Philipp Wendler;Armin Groslinger

  • Views on internal and external validity in empirical software engineering

    Janet Siegmund;Norbert Siegmund;Sven Apel

  • A comparison of 10 sampling algorithms for configurable systems

    Flavio Medeiros;Christian Kastner;Marcio Ribeiro;Rohit Gheyi

  • A Case Study Implementing Features Using AspectJ

    C. Kastner;S. Apel;D. Batory

  • Performance-Influence Models.

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

Frequent Co-Authors

Christian Kästner
Christian Kästner Carnegie Mellon University
Gunter Saake
Gunter Saake Otto-von-Guericke University Magdeburg
Norbert Siegmund
Norbert Siegmund Leipzig University
Christian Lengauer
Christian Lengauer University of Passau
Don Batory
Don Batory The University of Texas at Austin
Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Thomas Thüm
Thomas Thüm University of Ulm
Dirk Beyer
Dirk Beyer Ludwig-Maximilians-Universität München
Chris Parnin
Chris Parnin Microsoft (United States)
Ina Schaefer
Ina Schaefer Technische Universität Braunschweig

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