Software Engineering for AI-Based Systems: A Survey

5 May 2021

Silverio Martínez-Fernández

Justus Bogner

Stefan Wagner

Papers citing "Software Engineering for AI-Based Systems: A Survey"

25 / 25 papers shown

Title
Aggregating empirical evidence from data strategy studies: a case on model quantization Santiago del Rey Paulo Sérgio Medeiros dos Santos Guilherme Horta Travassos Xavier Franch Silverio Martínez-Fernández MQ 43 0 0 01 May 2025
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset Asma Z. Yamani Malak Baslyman Moataz Ahmed 28 0 0 01 Apr 2025
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 106 2 0 30 Oct 2024
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions Umm-e- Habiba Markus Haug Justus Bogner Stefan Wagner 18 0 0 11 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 29 3 0 29 Aug 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 24 2 0 12 Aug 2024
Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization Nassi Ebadifard Ajitesh Parihar Y. Khmelevsky Gaétan Hains Albert Wong Frank Zhang 16 3 0 20 Dec 2023
Bug Characterization in Machine Learning-based Systems Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Z. Jiang 23 20 0 26 Jul 2023
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study Joel Castaño Silverio Martínez-Fernández Xavier Franch Justus Bogner CVBM 21 33 0 18 May 2023
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository Lukas Heiland Marius Hauser Justus Bogner AI4TS 16 8 0 23 Mar 2023
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems Hans-Martin Heyn E. Knauss Patrizio Pelliccione AI4CE 12 16 0 27 Dec 2022
Machine Learning for Software Engineering: A Tertiary Study Zoe Kotti R. Galanopoulou D. Spinellis 16 21 0 17 Nov 2022
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
Towards a Change Taxonomy for Machine Learning Systems Aaditya Bhatia Ellis E. Eghan Manel Grichi William G. Cavanagh Zhen Ming Z. Jiang Bram Adams 17 8 0 21 Mar 2022
Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems Harald Foidl Michael Felderer Rudolf Ramler 13 31 0 19 Mar 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
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 35 126 0 19 Oct 2021
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI? Roger Creus Castanyer Silverio Martínez-Fernández Xavier Franch 38 11 0 28 Sep 2021
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World Daniel J. Fremont Edward Kim Yash Vardhan Pant S. Seshia Atul Acharya Xantha Bruso Paul Wells Steve Lemke Q. Lu Shalin Mehta 71 123 0 17 Mar 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 125 186 0 02 Dec 2018
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks D. Gopinath Guy Katz C. Păsăreanu Clark W. Barrett AAML 42 87 0 02 Oct 2017
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 931 0 21 Oct 2016