A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges

14 December 2020

Papers citing "A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges"

9 / 9 papers shown

Title
Towards Requirements Engineering for RAG Systems Tor Sporsem Rasmus Ulfsnes 24 0 0 12 May 2025
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts Jenny T Liang Melissa Lin Nikitha Rao Brad A. Myers 75 5 0 19 Sep 2024
Leveraging Artificial Intelligence on Binary Code Comprehension Yifan Zhang 24 3 0 11 Oct 2022
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning Steffen Herbold Steffen Tunkel 23 4 0 25 Jul 2022
Modeling Quality and Machine Learning Pipelines through Extended Feature Models Giordano dÁloisio A. Marco Giovanni Stilo 16 7 0 15 Jul 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 29 21 0 12 Jan 2022
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 28 47 0 25 Aug 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 36 29 0 08 Feb 2020