A Comprehensive Study on Deep Learning Bug Characteristics

3 June 2019

Papers citing "A Comprehensive Study on Deep Learning Bug Characteristics"

50 / 55 papers shown

Title
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution Raffi Khatchadourian Tatiana Castro Vélez M. Bagherzadeh Nan Jia A. Raja 34 0 0 07 Apr 2025
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis Jiabo Shi Yehia Elkhatib 3DH VLM 30 0 0 04 Apr 2025
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation Alireza Daghighfarsoodeh Chung-Yu Wang Hamed Taherkhani Melika Sepidband Mohammad Abdollahi Hadi Hemmati Hung Viet Pham ALM ELM 96 0 0 26 Feb 2025
A Comprehensive Study of Bug-Fix Patterns in Autonomous Driving Systems Yuntianyi Chen Yuqi Huai Yirui He Shilong Li Changnam Hong Qi Alfred Chen Joshua Garcia 47 0 0 04 Feb 2025
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives Carolina Veiga Ashish Sharma Daniel de Oliveira Marcos Lage Fabio Miranda AI4CE 39 0 0 06 Oct 2024
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study Shihan Dou Haoxiang Jia Shenxi Wu Huiyuan Zheng Weikang Zhou ... Xunliang Cai Tao Gui Xipeng Qiu Qi Zhang Xuanjing Huang 38 33 0 08 Jul 2024
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 39 4 0 28 Jun 2024
On Security Weaknesses and Vulnerabilities in Deep Learning Systems Zhongzheng Lai Huaming Chen Ruoxi Sun Yu Zhang Minhui Xue Dong Yuan AAML 43 2 0 12 Jun 2024
Unraveling Code Clone Dynamics in Deep Learning Frameworks Maram Assi Safwat Hassan Ying Zou 33 3 0 25 Apr 2024
ROBUST: 221 Bugs in the Robot Operating System C. Timperley G. V. D. Hoorn André Santos Harshavardhan Deshpande Andrzej Wasowski 23 4 0 04 Apr 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 25 2 0 26 Feb 2024
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment Shibbir Ahmed Hongyang Gao Hridesh Rajan 29 2 0 26 Jan 2024
An Exploratory Study on Automatic Identification of Assumptions in the Development of Deep Learning Frameworks Chen Yang Peng Liang Zinan Ma 32 0 0 08 Jan 2024
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study Mehil B. Shah Mohammad Masudur Rahman Foutse Khomh 28 5 0 05 Jan 2024
FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions Nikolaos Louloudakis Perry Gibson José Cano Ajitha Rajan 19 0 0 22 Dec 2023
ActiveClean: Generating Line-Level Vulnerability Data via Active Learning Ashwin Kallingal Joshy Mirza Sanjida Alam Shaila Sharmin Qi Li Wei Le 13 0 0 04 Dec 2023
Mutation-based Fault Localization of Deep Neural Networks Ali Ghanbari Deepak-George Thomas Muhammad Arbab Arshad Hridesh Rajan 13 12 0 10 Sep 2023
A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks Weijie Shao Yuyang Gao Fu Song Sen Chen Lingling Fan JingZhu He FedML 29 0 0 09 Aug 2023
Bug Characterization in Machine Learning-based Systems Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Z. Jiang 31 20 0 26 Jul 2023
What Kinds of Contracts Do ML APIs Need? S. K. Samantha Shibbir Ahmed S. Imtiaz Hridesh Rajan G. Leavens 11 3 0 26 Jul 2023
An Empirical Study on Bugs Inside PyTorch: A Replication Study Sharon Chee Yin Ho Vahid Majdinasab Mohayeminul Islam D. Costa Emad Shihab Foutse Khomh Sarah Nadi Muhammad Raza 12 6 0 25 Jul 2023
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow Amin Ghadesi Maxime Lamothe Heng Li 24 1 0 25 Apr 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem Purvish Jajal Wenxin Jiang Arav Tewari Erik Kocinare Joseph Woo Anusha Sarraf Yung-Hsiang Lu George K. Thiruvathukal James C. Davis 35 0 0 30 Mar 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis VLM 40 18 0 13 Mar 2023
Understanding Bugs in Multi-Language Deep Learning Frameworks Zengyang Li Sicheng Wang Wenshuo Wang Peng Liang Ran Mo Bing Li 30 4 0 05 Mar 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 32 4 0 31 Jan 2023
An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks Mohamed Raed El aoun L. Tidjon Ben Rombaut Foutse Khomh Ahmed E. Hassan 27 5 0 28 Nov 2022
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks Neophytos Christou Di Jin Vaggelis Atlidakis Baishakhi Ray V. Kemerlis 29 13 0 29 Sep 2022
Comparative analysis of real bugs in open-source Machine Learning projects -- A Registered Report Tuan Dung Lai Anj Simmons Scott Barnett Jean-Guy Schneider Rajesh Vasa 14 1 0 20 Sep 2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 32 20 0 24 Jun 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 15 6 0 24 May 2022
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs Jialun Cao Meiziniu Li Xiao Chen Ming Wen Yongqiang Tian Bo Wu Shing-Chi Cheung AAML 22 41 0 04 May 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 19 12 0 19 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
Code Smells for Machine Learning Applications Haiyin Zhang Luís Cruz A. van Deursen 23 26 0 25 Mar 2022
What is Software Quality for AI Engineers? Towards a Thinning of the Fog Valentina Golendukhina Valentina Lenarduzzi Michael Felderer 16 14 0 23 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
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study Tatiana Castro Vélez Raffi Khatchadourian M. Bagherzadeh A. Raja 19 9 0 24 Jan 2022
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow Florian Tambon Amin Nikanjam Le An Foutse Khomh G. Antoniol 25 34 0 26 Dec 2021
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs Mohammad Wardat Breno Dantas Cruz Wei Le Hridesh Rajan 24 52 0 07 Dec 2021
Manas: Mining Software Repositories to Assist AutoML Giang Nguyen Johir Islam Rangeet Pan Hridesh Rajan 51 15 0 06 Dec 2021
Understanding Performance Problems in Deep Learning Systems Junming Cao Bihuan Chen Chao Sun Longjie Hu Shuai Wu Xin Peng 30 27 0 03 Dec 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 23 36 0 15 Sep 2021
Design Smells in Deep Learning Programs: An Empirical Study Amin Nikanjam Foutse Khomh 32 12 0 05 Jul 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 18 112 0 02 Jun 2021
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework K. Morik Helena Kotthaus Raphael Fischer Sascha Mucke Matthias Jakobs Nico Piatkowski Andrea Pauly Lukas Heppe Danny Heinrich 19 11 0 21 May 2021
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations Amin Nikanjam Houssem Ben Braiek Mohammad Mehdi Morovati Foutse Khomh GNN 11 24 0 17 May 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
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications Zhenpeng Chen Huihan Yao Yiling Lou Yanbin Cao Yuanqiang Liu Haoyu Wang Xuanzhe Liu 48 79 0 13 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 27 30 0 01 Jan 2021