Machine Learning · Computer Science
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Emily Jefferson, James Liley, Maeve Malone, Smarti Reel +15
2022-11-04
Software Engineering · Computer Science
The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1)
Daniel S. Katz, Stephan Druskat, Robert Haines, Caroline Jay +1
2019-09-13
Cryptography and Security · Computer Science
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
Esma Mansouri-Benssassi, Simon Rogers, Jim Smith, Felix Ritchie +1
2022-08-23
Software Engineering · Computer Science
Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1)
Daniel S. Katz, Sou-Cheng T. Choi, Hilmar Lapp, Ketan Maheshwari +11
2014-07-10
Software Engineering · Computer Science
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng
2022-05-25
Software Engineering · Computer Science
A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks
Sinclair Hudson, Sophia Jit, Boyue Caroline Hu, Marsha Chechik
2024-06-13
Software Engineering · Computer Science
Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2)
Daniel S. Katz, Sou-Cheng T. Choi, Nancy Wilkins-Diehr, Neil Chue Hong +8
2016-02-23
Information Retrieval · Computer Science
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos +2
2021-04-20
Software Engineering · Computer Science
Machine Learning Application Development: Practitioners' Insights
Md Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng +2
2022-01-03
Software Engineering · Computer Science
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari +3
2022-09-14
Software Engineering · Computer Science
LLMs for Science: Usage for Code Generation and Data Analysis
Mohamed Nejjar, Luca Zacharias, Fabian Stiehle, Ingo Weber
2024-04-24
Software Engineering · Computer Science
Building a Sustainable Structure for Research Software Engineering Activities
Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines +1
2019-08-07
Software Engineering · Computer Science
Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)
Daniel S. Katz, Sou-Cheng T. Choi, Kyle E. Niemeyer, James Hetherington +17
2018-07-23
Software Engineering · Computer Science
Studying Software Engineering Patterns for Designing Machine Learning Systems
Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gael Gueheneuc
2019-10-14
Computation and Language · Computer Science
Code Mixologist : A Practitioner's Guide to Building Code-Mixed LLMs
Himanshu Gupta, Pratik Jayarao, Chaitanya Dwivedi, Neeraj Varshney
2026-05-12
Cryptography and Security · Computer Science
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee
2022-01-07
Digital Libraries · Computer Science
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments
Bertram Ludaescher, Kyle Chard, Niall Gaffney, Matthew B. Jones +3
2016-11-01
Machine Learning · Computer Science
Trustworthy Machine Learning
Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein +1
2023-10-13
Software Engineering · Computer Science
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
Hamed Jelodar, Mohammad Meymani, Roozbeh Razavi-Far
2025-03-25