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"

28 / 28 papers shown

Title
Towards Requirements Engineering for RAG Systems Tor Sporsem Rasmus Ulfsnes 24 0 0 12 May 2025
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey Lakshit Arora Sanjay Surendranath Girija Shashank Kapoor Aman Raj Dipen Pradhan Ankit Shetgaonkar 33 0 0 11 May 2025
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review Karthik Shivashankar Ghadi S. Al Hajj Antonio Martini 17 0 0 15 Apr 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
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems Sujay Koujalgi Andrew Anderson Iyadunni Adenuga Shikha Soneji Rupika Dikkala ... Leo Soccio Sourav Panda Rupak Kumar Das Margaret Burnett Jonathan Dodge 19 2 0 23 Aug 2024
On Security Weaknesses and Vulnerabilities in Deep Learning Systems Zhongzheng Lai Huaming Chen Ruoxi Sun Yu Zhang Minhui Xue Dong Yuan AAML 41 2 0 12 Jun 2024
Naming the Pain in Machine Learning-Enabled Systems Engineering Marcos Kalinowski Daniel Méndez G. Giray Antonio Pedro Santos Alves Kelly Azevedo ... Stefan Biffl Jürgen Musil Michael Felderer N. Lavesson T. Gorschek 22 5 0 20 May 2024
A Framework to Model ML Engineering Processes Sergio Morales Robert Clarisó Jordi Cabot 16 1 0 29 Apr 2024
An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight Benedikt Holm Gabriel Jouan Emil Hardarson Sigríður Sigurðardóttir Kenan Hoelke Conor Murphy E. S. Arnardóttir María Óskarsdóttir A. Islind 17 0 0 02 Apr 2024
Profile of Vulnerability Remediations in Dependencies Using Graph Analysis Fernando Vera Palina Pauliuchenka Ethan Oh Bai Chien Kao Louis DiValentin David A. Bader 22 0 0 08 Mar 2024
An Empirical Study of Challenges in Machine Learning Asset Management Zhimin Zhao Yihao Chen A. A. Bangash Bram Adams Ahmed E. Hassan 37 5 0 25 Feb 2024
Good Tools are Half the Work: Tool Usage in Deep Learning Projects Evangelia Panourgia Theodoros Plessas Ilias Balampanis D. Spinellis 22 0 0 29 Oct 2023
Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective Ricardo Britto Timothy Murphy Massimo Iovene Leif Jonsson Melike Erol-Kantarci Benedek Kovács 34 5 0 18 Oct 2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 32 5 0 10 Oct 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 Christian Kastner 21 36 0 31 Mar 2023
The Effect of Structural Equation Modeling on Chatbot Usage: An Investigation of Dialogflow Vinh Phu Nguyen C. T. H. Nguyen 11 7 0 07 Feb 2023
Leveraging Artificial Intelligence on Binary Code Comprehension Yifan Zhang 29 3 0 11 Oct 2022
Capturing Dependencies within Machine Learning via a Formal Process Model Fabian Ritz Thomy Phan Andreas Sedlmeier Philipp Altmann J. Wieghardt Reiner N. Schmid Horst Sauer Cornel Klein Claudia Linnhoff-Popien Thomas Gabor VLM 17 7 0 10 Aug 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 18 7 0 15 Jul 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 11 12 0 19 Apr 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 34 21 0 12 Jan 2022
Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses and Rebars Markus Borg 9 13 0 28 Nov 2021
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
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 19 211 0 05 May 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 44 29 0 08 Feb 2020
Software Engineering Practices for Machine Learning P. Kriens Tim Verbelen VLM 14 4 0 25 Jun 2019