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Génération automatique d'algorithmes de détection des défauts de conception., , , , and . LMO, volume L-1 of RNTI, page 93-106. Cépaduès-Éditions, (2008)Noise in Mylyn interaction traces and its impact on developers and recommendation systems., , , and . Empirical Software Engineering, 23 (2): 645-692 (2018)On Testing Machine Learning Programs., and . CoRR, (2018)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)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 app performance optimization advisor for mobile device app marketplaces., , , and . Sustain. Comput. Informatics Syst., (2018)Detection and evaluation of bias-inducing features in machine learning., , and . Empir. Softw. Eng., 29 (1): 22 (February 2024)