Studying Software Engineering Patterns for Designing Machine Learning
Systems

Studying Software Engineering Patterns for Designing Machine Learning Systems

10 October 2019

Hironori Washizaki

Yann-Gaël Guéhéneuc

Papers citing "Studying Software Engineering Patterns for Designing Machine Learning Systems"

7 / 7 papers shown

Title
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository Lukas Heiland Marius Hauser Justus Bogner AI4TS 32 8 0 23 Mar 2023
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems Hans-Martin Heyn E. Knauss Patrizio Pelliccione AI4CE 26 16 0 27 Dec 2022
Towards a Change Taxonomy for Machine Learning Systems Aaditya Bhatia Ellis E. Eghan Manel Grichi William G. Cavanagh Zhen Ming Z. Jiang Bram Adams 28 8 0 21 Mar 2022
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors Vishnu Banna Akhil Chinnakotla Zhengxin Yan Anirudh Vegesana Naveen Vivek Kruthi Krishnappa Wenxin Jiang Yung-Hsiang Lu George K. Thiruvathukal James C. Davis VLM 30 14 0 02 Jul 2021
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review Giuliano Lorenzoni Paulo S. C. Alencar Nathalia Nascimento Donald D. Cowan 24 18 0 15 Feb 2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study David Piorkowski Soya Park A. Wang Dakuo Wang Michael J. Muller Felix Portnoy 38 131 0 13 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 33 120 0 14 Dec 2020