Software Engineering Challenges of Deep Learning

29 October 2018

Papers citing "Software Engineering Challenges of Deep Learning"

22 / 22 papers shown

Title
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts Jenny T Liang Melissa Lin Nikitha Rao Brad A. Myers 83 6 0 19 Sep 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 33 2 0 12 Aug 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 37 5 0 20 May 2024
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects Han Wang Sijia Yu Chunyang Chen Burak Turhan Xiaodong Zhu ELM MLAU 30 2 0 26 Feb 2024
Deep learning for table detection and structure recognition: A survey M. Kasem Abdelrahman Abdallah Alexander Berendeyev Ebrahem Elkady Mahmoud Abdalla Mohamed Mahmoud Mohamed Hamada D. Nurseitov I. Taj-Eddin LMTD 40 25 0 15 Nov 2022
Management of Machine Learning Lifecycle Artifacts: A Survey Marius Schlegel K. Sattler 30 35 0 21 Oct 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 33 2 0 30 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning O. Odeyomi Olubiyi O. Akintade T. Olowu G. Záruba AILaw 3DV AI4TS 28 1 0 16 Aug 2022
Towards Perspective-Based Specification of Machine Learning-Enabled Systems Hugo Villamizar Marcos Kalinowski Hélio Lopes 21 6 0 20 Jun 2022
Towards a Change Taxonomy for Machine Learning Systems Aaditya Bhatia Ellis E. Eghan Manel Grichi William G. Cavanagh Zhen Ming Z. Jiang Bram Adams 36 8 0 21 Mar 2022
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study Tatiana Castro Vélez Raffi Khatchadourian M. Bagherzadeh A. Raja 29 9 0 24 Jan 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 50 127 0 19 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 27 211 0 05 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 37 11 0 03 May 2021
Integration of Convolutional Neural Networks in Mobile Applications Roger Creus Castanyer Silverio Martínez-Fernández Xavier Franch 31 12 0 11 Mar 2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study David Piorkowski Soya Park A. Wang Dakuo Wang Michael J. Muller Felix Portnoy 40 131 0 13 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 20 40 0 07 Nov 2020
Engineering AI Systems: A Research Agenda J. Bosch I. Crnkovic Helena Holmström Olsson AI4TS 36 100 0 16 Jan 2020
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 27 264 0 24 Oct 2019
Testing and verification of neural-network-based safety-critical control software: A systematic literature review Jin Zhang Jingyue Li 27 47 0 05 Oct 2019
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services Alex Cummaudo Rajesh Vasa J. Grundy Mohamed Abdelrazek A. Cain 31 19 0 18 Jun 2019