A Meta-Summary of Challenges in Building Products with ML Components --
Collecting Experiences from 4758+ Practitioners

A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners

31 March 2023

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Papers citing "A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners"

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Title
Enhancing software product lines with machine learning components Luz-Viviana Cobaleda Julián Carvajal Paola Vallejo Andrés López Raúl Mazo VLM 211 1 0 31 Oct 2025
Understanding Prompt Programming Tasks and Questions Jenny T Liang Chenyang Yang Agnia Sergeyuk Travis D. Breaux Brad A. Myers LRM 107 1 0 23 Jul 2025
Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education Smitha Kumar M. Lones Manuel Maarek Hind Zantout 151 0 0 23 May 2025
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development Raphael Fischer Magdalena Wischnewski Alexander van der Staay Katharina Poitz Christian Janiesch Thomas Liebig 223 1 0 21 Jan 2025
Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products Nadia Nahar Jane Hsieh Jenna L. Butler Chris Parnin Thomas Zimmermann Christian Bird 159 11 0 15 Oct 2024
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts Jenny T Liang Melissa Lin Nikitha Rao Brad A. Myers 256 22 0 19 Sep 2024
A Large-Scale Study of Model Integration in ML-Enabled Software SystemsInternational Conference on Software Engineering (ICSE), 2024 Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 261 8 0 12 Aug 2024
Innovating for Tomorrow: The Convergence of SE and Green AI Luís Cruz Xavier Franch Gutierrez Luís Cruz 176 6 0 26 Jun 2024
Using Quality Attribute Scenarios for ML Model Test Case Generation Rachel A. Brower-Sinning Grace A. Lewis Sebastían Echeverría Ipek Ozkaya 138 1 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 147 6 0 20 May 2024
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection Rafiullah Omar Justus Bogner J. Leest Vincenzo Stoico Patricia Lago H. Muccini 159 3 0 30 Apr 2024
What About the Data? A Mapping Study on Data Engineering for AI Systems Petra Heck 181 10 0 07 Feb 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs Chenyang Yang Rishabh Rustogi Rachel A. Brower-Sinning Grace A. Lewis Jane Hsieh Tongshuang Wu KELM 165 13 0 14 Oct 2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 165 8 0 10 Oct 2023
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems DevelopmentEuropean Conference on Software Architecture (ECSA), 2023 Francesca Marzi Giordano dÁloisio A. Marco Giovanni Stilo 47 1 0 20 Sep 2023