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1906.07154
Cited By
Machine Learning Software Engineering in Practice: An Industrial Case Study
17 June 2019
M. S. Rahman
Emilio Rivera
Foutse Khomh
Yann-Gaël Guéhéneuc
Bernd Lehnert
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Papers citing
"Machine Learning Software Engineering in Practice: An Industrial Case Study"
17 / 17 papers shown
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Wenxin Jiang
Jerin Yasmin
Jason Jones
Nicholas Synovic
Jiashen Kuo
Nathaniel Bielanski
Yuan Tian
George K. Thiruvathukal
James C. Davis
250
18
0
01 Feb 2024
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
Nadia Nahar
Haoran Zhang
Grace A. Lewis
Shurui Zhou
Jane Hsieh
376
62
0
31 Mar 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision
Empirical Software Engineering (EMSE), 2023
Wenxin Jiang
Vishnu Banna
Naveen Vivek
Abhinav Goel
Nicholas Synovic
George K. Thiruvathukal
James C. Davis
VLM
280
30
0
13 Mar 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry
International Conference on Software Engineering (ICSE), 2023
Wenxin Jiang
Nicholas Synovic
Matt Hyatt
Taylor R. Schorlemmer
R. Sethi
Yung-Hsiang Lu
George K. Thiruvathukal
James C. Davis
255
96
0
05 Mar 2023
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability
Diego Montes
Pongpatapee Peerapatanapokin
Jeff Schultz
Chengjun Guo
Wenxin Jiang
James C. Davis
155
14
0
05 Mar 2023
Capturing Dependencies within Machine Learning via a Formal Process Model
Leveraging Applications of Formal Methods (ISoLA), 2022
Fabian Ritz
Thomy Phan
Andreas Sedlmeier
Philipp Altmann
J. Wieghardt
Reiner N. Schmid
Horst Sauer
Cornel Klein
Claudia Linnhoff-Popien
Thomas Gabor
VLM
215
11
0
10 Aug 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
285
41
0
10 Apr 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
ACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
352
41
0
12 Jan 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
158
17
0
02 Jul 2021
Software Engineering for AI-Based Systems: A Survey
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Luís Cruz
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
327
295
0
05 May 2021
Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report
Workshop on AI Engineering - Software Engineering for AI (ESEA), 2021
A. Chadda
Kelly Song
Raman Chandrasekar
I. Gorton
135
4
0
25 Mar 2021
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
Justus Bogner
Roberto Verdecchia
I. Gerostathopoulos
183
43
0
17 Mar 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
120
22
0
15 Feb 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
Journal of Systems and Software (JSS), 2020
G. Giray
417
164
0
14 Dec 2020
Artificial Intelligence Governance for Businesses
Information systems management (ISM), 2020
Johannes Schneider
Rene Abraham
Christian Meske
Jan vom Brocke
AI4TS
554
97
0
20 Nov 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
339
0
0
29 May 2020
Studying Software Engineering Patterns for Designing Machine Learning Systems
International Workshop on Empirical Software Engineering in Practice (ESEP), 2019
Hironori Washizaki
Hiromu Uchida
Foutse Khomh
Yann-Gaël Guéhéneuc
141
84
0
10 Oct 2019
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