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Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?

, , , , and . Computer, 55 (3): 74-81 (2022)

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VEER: enhancing the interpretability of model-based optimizations., , , , and . Empir. Softw. Eng., 28 (3): 61 (June 2023)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)Performance evolution of configurable software systems: an empirical study., , , , and . Empir. Softw. Eng., 28 (6): 152 (November 2023)The Interplay of Sampling and Machine Learning for Software Performance Prediction., , , and . IEEE Softw., 37 (4): 58-66 (2020)VEER: Disagreement-Free Multi-objective Configuration., , , , and . CoRR, (2021)Distance-based sampling of software configuration spaces., , , , and . ICSE, page 1084-1094. IEEE / ACM, (2019)Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems., , , , , and . ICSE, page 2085-2097. IEEE, (2023)Is Performance a Reliable Proxy for Energy Consumption?, , , , and . Software Engineering, volume P-343 of LNI, page 99-100. Gesellschaft für Informatik e.V., (2024)Performance Sensitivity Across Configuration and Workload., , , , , and . Software Engineering, volume P-343 of LNI, page 113-114. Gesellschaft für Informatik e.V., (2024)