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Predicting Performance via Automated Feature-interaction Detection, , , , , , and . Proceedings of the 34th International Conference on Software Engineering (ICSE '12), (2012)Automatic Detection of Feature Interactions Using the Java Modeling Language: An Experience Report, , , and . Proceedings of the 15th International Software Product Line Conference, Volume 2, page 7:1--7:8. New York, NY, USA, ACM, (2011)Flexible Feature Binding in Software Product Lines, , , and . Automated Software Engineering, 18 (2): 163--197 (June 2011)Analysis Strategies for Software Product Lines: A Classification and Survey., , , , and . Software Engineering & Management, volume P-239 of LNI, page 57-58. GI, (2015)Scalable Analysis of Variable Software, , , , , and . Proceedings of the 9th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT symposium on the Foundations of Software Engineering, page 81--91. (August 2013)A Comparison of 10 Sampling Algorithms for Configurable Systems, , , , and . eprint arXiv:cs.SE/1602.02052, (February 2016)Variability-Aware Static Analysis at Scale: An Empirical Study, , , , and . ACM Transactions on Software Engineering and Methodology, 27 (4): 18 (November 2018)An investigation of misunderstanding code patterns in C open-source software projects., , , , , , and . Empir. Softw. Eng., 24 (4): 1693-1726 (2019)Lightweight, semi-automatic variability extraction: a case study on scientific computing., , , , and . Empir. Softw. Eng., 26 (2): 23 (2021)Superimposition: A Language-Independent Approach to Software Composition., and . SC@ETAPS, volume 4954 of Lecture Notes in Computer Science, page 20-35. Springer, (2008)