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Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE., , , and . CoRR, (2019)Cloud Container Technologies: A State-of-the-Art Review., , , and . IEEE Trans. Cloud Computing, 7 (3): 677-692 (2019)Understanding similarities and differences in software development practices across domains., , , , and . ICGSE, page 74-84. IEEE / ACM, (2019)Ensemble-Based Software Engineering for Modern Computing Platforms., , , , , , , and . ACM SIGSOFT Softw. Eng. Notes, 45 (1): 28-30 (2020)Pretrained Language Models are Symbolic Mathematics Solvers too!, , , , and . CoRR, (2021)ConfigCrusher: White-Box Performance Analysis for Configurable Systems., , , , , and . CoRR, (2019)FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)., , , and . AAAI, page 22700. AAAI Press, (2024)Modelling multi-tier enterprise applications behaviour with design of experiments technique., and . QUDOS@SIGSOFT FSE, page 13-18. ACM, (2015)Transfer Learning for Performance Modeling of Deep Neural Network Systems., , and . OpML, page 43-46. USENIX Association, (2019)Change Point Detection for MongoDB Time Series Performance Regression., , , , , and . ICPE (Companion), page 45-48. ACM, (2022)