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Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?, , , , и . Computer, 55 (3): 74-81 (2022)VEER: enhancing the interpretability of model-based optimizations., , , , и . Empir. Softw. Eng., 28 (3): 61 (июня 2023)Black-box performance modeling of configurable software systems.. Saarland University, Saarbrücken, Germany, (2023)Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software., , , , и . ICSE, стр. 2098-2110. IEEE, (2023)Performance Sensitivity Across Configuration and Workload., , , , , и . Software Engineering, том P-343 из LNI, стр. 113-114. Gesellschaft für Informatik e.V., (2024)Is Performance a Reliable Proxy for Energy Consumption?, , , , и . Software Engineering, том P-343 из LNI, стр. 99-100. Gesellschaft für Informatik e.V., (2024)Distance-Based Sampling of Software Configuration Spaces., , , , и . SE, том P-300 из LNI, стр. 61-64. Gesellschaft für Informatik e.V., (2020)VEER: Disagreement-Free Multi-objective Configuration., , , , и . CoRR, (2021)Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material)., , , , , и . (января 2023)Distance-based sampling of software configuration spaces., , , , и . ICSE, стр. 1084-1094. IEEE / ACM, (2019)