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Towards Seamless Configuration Tuning of Big Data Analytics., , , , and . ICDCS, page 1912-1919. IEEE, (2019)Detecting argument selection defects., , , , , and . Proc. ACM Program. Lang., 1 (OOPSLA): 104:1-104:22 (2017)Picky: Efficient and Reproducible Sharing of Large Datasets Using Merkle-Trees., and . MASCOTS, page 30-38. IEEE Computer Society, (2016)Productivity assessment of neural code completion., , , , , , , and . MAPS@PLDI, page 21-29. ACM, (2022)Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization., , , and . IEEE BigData, page 266-275. IEEE, (2020)To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics., , , , and . KDD, page 2494-2504. ACM, (2020)Analyzing and repairing compilation errors., , , , and . ICSE (Companion Volume), page 294-295. IEEE / ACM, (2019)Guiding user annotations for units-of-measure verification., , , and . CoRR, (2020)Software testing in a scientific research group., , , , and . SAC, page 1454-1459. ACM, (2016)Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics., , , , and . CoRR, (2020)