Sven Apel

Sven Apel, Prof. Dr.
Professor of Computer Science
Chair of Software Engineering
Saarland Informatics Campus
Saarland University

Publications

2021


  • Thiago Castro, Leopoldo Teixeira, Vander Alves, Sven Apel, Maxime Cordy, and Rohit Gheyi. A Formal Framework of Software Product Line Analyses. ACM Transactions on Software Engineering and Methodology (TOSEM), 2021. To appear.
     
  • Wolfgang Mauerer, Mitchell Joblin, Damian Tamburri, Carlos Paradis, Rick Kazman, and Sven Apel. In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. IEEE Transactions on Software Engineering (TSE), 2021. To appear.
     
  • Aleksandar Dimovski and Sven Apel. Lifted Static Analysis of Dynamic Program Families by Abstract Interpretation. In Proceedings of the European Conference on Object-Oriented Programming (ECOOP), LIPIcs. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, July 2021. Acceptance rate: 39% (22 / 56); to appear.
     
  • Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, and Christian Kästner. White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May 2021. Acceptance rate: 23% (138 / 602); to appear.
     
  • Norman Peitek, Sven Apel, Chris Parnin, André Brechmann, and Janet Siegmund. Program Comprehension and Code Complexity Metrics: An fMRI Study. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May 2021. Acceptance rate: 23% (138 / 602); to appear.
     
  • Max Weber, Sven Apel, and Norbert Siegmund. White-Box Performance-Influence Models: A Profiling and Learning Approach. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May 2021. Acceptance rate: 23% (138 / 602); to appear.
     
  • Aleksandar Dimovski, Sven Apel, and Axel Legay. Program Sketching using Lifted Analysis for Numerical Program Families. In Proceedings of the NASA Formal Methods Symposium (NFM), LNCS. Springer, May 2021. To appear.
     
  • Alexander Grebhahn, Christian Kaltenecker, Christian Engwer, Norbert Siegmund, and Sven Apel. Lightweight, Semi-Automatic Variability Extraction: A Case Study on Scientific Computing. Empirical Software Engineering, 26(2):23:1–23:21, March 2021.
     
  • Aleksandar Dimovski, Sven Apel, and Axel Legay. A Decision Tree Lifted Domain for Analyzing Program Families with Numerical Features. In Proceedings of the International Conference on Fundamental Approaches to Software Engineering (FASE), volume 12649 of LNCS, pages 67–86. Springer, March 2021.
     
  • Leonardo Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, and Jesus Alejandro Padilla. A Study of Feature Scattering in the Linux Kernel. IEEE Transactions on Software Engineering (TSE), 47(1):146–164, January 2021.
     
  • Janet Siegmund, Norman Peitek, Sven Apel, and Norbert Siegmund. Mastering Variation in Human Studies: The Role of Aggregation. ACM Transactions on Software Engineering and Methodology (TOSEM), 30(1):2:1–2:40, January 2021.
     

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