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Code smells for multi-language systems., , , and . EuroPLoP, page 12:1-12:13. ACM, (2019)Deep Learning Anti-Patterns from Code Metrics History., , and . ICSME, page 114-124. IEEE, (2019)Detection and evaluation of bias-inducing features in machine learning., , and . Empir. Softw. Eng., 29 (1): 22 (February 2024)On rapid releases and software testing: a case study and a semi-systematic literature review., , , , and . Empir. Softw. Eng., 20 (5): 1384-1425 (2015)Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?, , , , , , , and . Computer, 56 (4): 71-79 (April 2023)On Testing Machine Learning Programs., and . CoRR, (2018)A Study of the Energy Consumption of Databases and Cloud Patterns., , and . ICSOC, volume 9936 of Lecture Notes in Computer Science, page 606-614. Springer, (2016)TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs., and . QRS, page 426-433. IEEE, (2019)Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox., , , and . APSEC, page 396-405. IEEE, (2018)An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples., , , , , and . IEEE Trans. Software Eng., 48 (5): 1497-1514 (2022)