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Green configuration: Can artificial intelligence help reduce energy consumption of configurable software systems?

, , , , and . Computer (Long Beach Calif.), 55 (3): 74--81 (March 2022)

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Analysing the impact of workloads on modeling the performance of configurable software systems, , , , , and . 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE, (May 2023)Generating attributed variability models for transfer learning, , and . Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems, New York, NY, USA, ACM, (February 2020)Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems, , , , , and . 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE, (2023)Green configuration: Can artificial intelligence help reduce energy consumption of configurable software systems?, , , , and . Computer (Long Beach Calif.), 55 (3): 74--81 (March 2022)Identifying Software Performance Changes Across Variants and Versions, , and . 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE), page 611--622. (2020)SEAL: Integrating Program Analysis and Repository Mining, , , , and . ACM Transactions on Software Engineering and Methodology, (February 2023)Analyzing the Impact of Workloads on Modeling the performance of Configurable Software Systems (supplementary material), , , , , and . (2023)On debugging the performance of configurable software systems, , , , and . Proceedings of the 44th International Conference on Software Engineering, New York, NY, USA, ACM, (May 2022)The interplay of sampling and machine learning for software performance prediction, , , and . IEEE Softw., 37 (4): 58--66 (July 2020)Accurate modeling of performance histories for evolving software systems, , and . 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), IEEE, (November 2019)