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Many software systems offer configuration options to tailor their functionality and non-functional properties (e.g., performance).
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2015
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T. Xu, L. Jin, X. Fan, Y. Zhou, S. Pasupathy, and R. Talwadker, “Hey, You Have Given Me Too Many Knobs!: Understanding and Dealing with Over-designed Configuration in System Software,” in Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE) . ACM, 2015, pp. 307–319
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2015
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2015
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F. Medeiros, C. Kästner, M. Ribeiro, R. Gheyi, and S. Apel, “A Comparison of 10 Sampling Algorithms for Configurable Systems,” in Proceedings of the International Conference on Software Engineering (ICSE) . ACM, 2016, pp. 643–654
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P. A. Temple, M. Acher, J.-M. A. Jézéquel, L. A. Noel-Baron, and J. A. Galindo, “Learning-Based Performance Specialization of Configurable Systems,” IRISA, Inria Rennes; University of Rennes 1, Research Report, 2017
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N. Siegmund, S. Sobernig, and S. Apel, “Attributed Variability Models: Outside the Comfort Zone,” in Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE) . ACM, 2017, pp. 268–278
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V. Nair, T. Menzies, N. Siegmund, and S. Apel, “Using Bad Learners to find Good Configurations,” in Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE) . ACM Press, 2017, pp. 257–267
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S. Kolesnikov, N. Siegmund, C. Kästner, A. Grebhahn, and S. Apel, “Tradeoffs in Modeling Performance of Highly-Configurable Software Systems,” Software and Systems Modeling (SoSyM) , pp. 1–19, 2018, online first
2018
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V. Nair, Z. Yu, T. Menzies, N. Siegmund, and S. Apel, “ Finding Faster Configurations using FLASH,” IEEE Transactions on Software Engineering (TSE) , 2018, online first
2018
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V. Nair, T. Menzies, N. Siegmund, and S. Apel, “Faster Discovery of Faster System Configurations with Spectral Learning,” Automated Software Engineering , vol. 25, no. 2, pp. 247–277, 2018
2018
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J. Guo, D. Yang, N. Siegmund, S. Apel, A. Sarkar, P. Valov, K. Czarnecki, A. Wasowski, and H. Yu, “Data-Efficient Performance Learning for Configurable Systems,” Empirical Software Engineering , vol. 23, no. 3, pp. 1826–1867, 2018
2018
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C. Kaltenecker, A. Grebhahn, N. Siegmund, J. Guo, and S. Apel, “Distance-Based Sampling of Software Configuration Spaces,” in Proceedings of the International Conference on Software Engineering (ICSE) . IEEE Computer Society, 2019
2019
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