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A Large-Scale Study of Model Integration in ML-Enabled Software Systems
International Conference on Software Engineering (ICSE), 2024
12 August 2024
Yorick Sens
Henriette Knopp
Sven Peldszus
Thorsten Berger
AIFin
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Papers citing
"A Large-Scale Study of Model Integration in ML-Enabled Software Systems"
22 / 22 papers shown
LLMs in Mobile Apps: Practices, Challenges, and Opportunities
International Conference on Mobile Software Engineering and Systems (MOBILESoft), 2025
Kimberly Hau
Safwat Hassan
Shurui Zhou
271
5
0
21 Feb 2025
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
Shreyas Kumar Parida
I. Gerostathopoulos
Justus Bogner
299
0
0
01 Feb 2025
An Empirical Study of Challenges in Machine Learning Asset Management
Zhimin Zhao
Yihao Chen
A. A. Bangash
Bram Adams
Ahmed E. Hassan
261
11
0
25 Feb 2024
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
216
17
0
01 Feb 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study
Hala Abdelkader
Mohamed Abdelrazek
Scott Barnett
Jean-Guy Schneider
Priya Rani
Rajesh Vasa
230
7
0
12 Jan 2024
An empirical study of testing machine learning in the wild
Moses Openja
Foutse Khomh
A. Foundjem
Zhen Ming Jiang
Jiang
Mouna Abidi
Ahmed E. Hassan
129
1
0
19 Dec 2023
Generative AI
Business & Information Systems Engineering (BISE), 2023
Stefan Feuerriegel
Jochen Hartmann
Christian Janiesch
Patrick Zschech
319
1,058
0
13 Sep 2023
A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges
Journal of Systems and Software (JSS), 2023
Morteza Zakeri-Nasrabadi
Saeed Parsa
Mohammad Ramezani
C. Roy
Masoud Ekhtiarzadeh
197
66
0
28 Jun 2023
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
337
55
0
31 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
191
85
0
05 Mar 2023
Vision-and-Language Pretrained Models: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Siqu Long
Feiqi Cao
S. Han
Haiqing Yang
VLM
422
71
0
15 Apr 2022
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
Aspen K. Hopkins
Serena Booth
181
50
0
06 Oct 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection
International Symposium on Software Testing and Analysis (ISSTA), 2021
Yan Liang
Ziqi Zhang
Bingyan Liu
Ziyue Yang
Yunxin Liu
169
65
0
11 Jun 2021
Feature Interactions on Steroids: On the Composition of ML Models
Jane Hsieh
Eunsuk Kang
S. Apel
142
10
0
13 May 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
287
281
0
05 May 2021
Pre-trained Models for Natural Language Processing: A Survey
Science China Technological Sciences (Sci China Technol Sci), 2020
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
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1,623
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18 Mar 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
305
614
0
12 Feb 2020
Engineering AI Systems: A Research Agenda
J. Bosch
I. Crnkovic
Helena Holmström Olsson
AI4TS
237
113
0
16 Jan 2020
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Alesia Chernikova
Alina Oprea
Cristina Nita-Rotaru
Baekgyu Kim
AAML
139
78
0
15 Apr 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
547
788
0
28 Jan 2019
Software Engineering Challenges of Deep Learning
Anders Arpteg
B. Brinne
L. Crnkovic-Friis
J. Bosch
227
189
0
29 Oct 2018
Attention Is All You Need
Neural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
4.2K
161,538
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12 Jun 2017
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