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Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems.

, , , , , and . ICSE, page 2085-2097. IEEE, (2023)

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Modeling Dependent Software Product Lines, , , and . Proceedings of the GPCE Workshop on Modularization, Composition and Generative Techniques for Product Line Engineering (McGPLE), MIP-0802, page 13--18. Department of Informatics and Mathematics, University of Passau, (October 2008)Predicting Performance via Automated Feature-interaction Detection, , , , , , and . Proceedings of the 34th International Conference on Software Engineering (ICSE '12), (2012)Flexible Feature Binding in Software Product Lines, , , and . Automated Software Engineering, 18 (2): 163--197 (June 2011)Specialized Embedded DBMS: Cell Based Approach, , , , and . EDACS '09: 20th International Workshop on Database and Expert Systems Application (DEXA 2009), page 9--13. ISBN: 978-0-7695-3763-4, IEEE Computer Society, (2009)Lightweight, semi-automatic variability extraction: a case study on scientific computing., , , , and . Empir. Softw. Eng., 26 (2): 23 (2021)Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?, , , , and . Computer, 55 (3): 74-81 (2022)White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems., , , , and . ICSE, page 1072-1084. IEEE, (2021)Performance Prediction in the Presence of Feature Interactions., , , , , , and . Software Engineering, volume P-227 of LNI, page 33-34. GI, (2014)Generating attributed variability models for transfer learning., , and . VaMoS, page 5:1-5:8. ACM, (2020)VEER: enhancing the interpretability of model-based optimizations., , , , and . Empir. Softw. Eng., 28 (3): 61 (June 2023)