and Holt, Gary and Golovin, Daniel and Davydov, Eugene and Phillips, Todd and Ebner, Dietmar and Chaudhary, Vinay and Young, Michael and Crespo, Jean-Fran\c{c}ois and Dennison, Dan (2015) Hidden Technical Debt in Machine Learning Systems, Advances in Neural Information Processing Systems 28 (NIPS 2015) https://proceedings.neurips.cc/paper/2015/hash/86df7dcfd896fcaf2674f757a2463eba-Abstract.html
and Chuan Yu Foo and Clemens Mewald and Denis M. Baylor and Eric Breck and Heng-Tze Cheng and Jarek Wilkiewicz and Levent Koc and Lukasz Lew and Martin A. Zinkevich and Martin Wicke and Mustafa Ispir and Neoklis Polyzotis and Noah Fiedel and Salem Elie Haykal and Steven Whang and Sudip Roy and Sukriti Ramesh and Vihan Jain and Xin Zhang and Zakaria Haque TFX: A TensorFlow-Based Production- Scale Machine Learning Platform, KDD 2017 (2017) https://proceedings.neurips.cc/paper/2015/hash/86df7dcfd896fcaf2674f757a2463eba-Abstract.html
and Kevin Haas and Konstantinos Katsiapis and Sammy Leong and Rose Liu and Clemens Menwald and Hui Miao and Neoklis Polyzotis and Mitchell Trott and Martin Zinkevich, Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform, 2019 {USENIX} Conference on Operational Machine Learning (OpML 19) (2019) https://www.usenix.org/conference/opml19/presentation/baylor
ML だけにとどまら ない Daniel Papasian and Todd Underwood, How ML Breaks: A Decade of Outages for One Large ML Pipeline, USENIX Association 2020 https://www.usenix.org/conference/opml20/presentation/papasian