Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software
Fuente:
arXiv
Saved in:
| Main Authors: | Davis, Matthew, Kulkarni, Aakash, Chen, Ziyan, Qiao, Yunhan, Terrazas, Christopher, Motwani, Manish |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice
by: Qiao, Yunhan, et al.
Published: (2025)
by: Qiao, Yunhan, et al.
Published: (2025)
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language
by: Nitin, Vikram, et al.
Published: (2023)
by: Nitin, Vikram, et al.
Published: (2023)
Code Comprehension with GitHub Copilot: Performance Gains, Comprehension Trade-offs, and Behavioral Predictors in Brownfield Programming
by: Qiao, Yunhan, et al.
Published: (2025)
by: Qiao, Yunhan, et al.
Published: (2025)
An Empirical Study of Interaction Bugs in ROS-based Software
by: Chen, Zhixiang, et al.
Published: (2025)
by: Chen, Zhixiang, et al.
Published: (2025)
Quantum Computing as a Service -- a Software Engineering Perspective
by: Ahmad, Aakash, et al.
Published: (2025)
by: Ahmad, Aakash, et al.
Published: (2025)
Towards Extracting Ethical Concerns-related Software Requirements from App Reviews
by: Sorathiya, Aakash, et al.
Published: (2024)
by: Sorathiya, Aakash, et al.
Published: (2024)
Black-Box Bug-Amplification for Multithreaded Software
by: Weiss, Yeshayahu, et al.
Published: (2025)
by: Weiss, Yeshayahu, et al.
Published: (2025)
The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
by: Shihab, Md Istiak Hossain, et al.
Published: (2025)
by: Shihab, Md Istiak Hossain, et al.
Published: (2025)
Towards Extracting Software Requirements from App Reviews using Seq2seq Framework
by: Sorathiya, Aakash, et al.
Published: (2025)
by: Sorathiya, Aakash, et al.
Published: (2025)
Automatic Detection of Reference Counting Bugs in Linux Kernel Drivers
by: Hattori, Joe, et al.
Published: (2026)
by: Hattori, Joe, et al.
Published: (2026)
Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning
by: Ji, Liguo, et al.
Published: (2025)
by: Ji, Liguo, et al.
Published: (2025)
An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
by: Liao, Zeqin, et al.
Published: (2025)
by: Liao, Zeqin, et al.
Published: (2025)
Towards Richer Challenge Problems for Scientific Computing Correctness
by: Sottile, Matthew, et al.
Published: (2025)
by: Sottile, Matthew, et al.
Published: (2025)
Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
Bug Priority Change Prediction: An Exploratory Study on Apache Software
by: Cai, Guangzong, et al.
Published: (2025)
by: Cai, Guangzong, et al.
Published: (2025)
BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
by: Jasper, Surya, et al.
Published: (2025)
by: Jasper, Surya, et al.
Published: (2025)
From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
by: Zhu, Hao-Nan, et al.
Published: (2025)
by: Zhu, Hao-Nan, et al.
Published: (2025)
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
by: Mahbub, Parvez, et al.
Published: (2022)
by: Mahbub, Parvez, et al.
Published: (2022)
Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor
by: Ahmed, Sharif, et al.
Published: (2026)
by: Ahmed, Sharif, et al.
Published: (2026)
GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More
by: Patil, Avinash, et al.
Published: (2025)
by: Patil, Avinash, et al.
Published: (2025)
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
DESIL: Detecting Silent Bugs in MLIR Compiler Infrastructure
by: Suo, Chenyao, et al.
Published: (2025)
by: Suo, Chenyao, et al.
Published: (2025)
MicroRacer: Detecting Concurrency Bugs for Cloud Service Systems
by: Deng, Zhiling, et al.
Published: (2025)
by: Deng, Zhiling, et al.
Published: (2025)
Understanding and Finding JIT Compiler Performance Bugs
by: Yi, Zijian, et al.
Published: (2026)
by: Yi, Zijian, et al.
Published: (2026)
When High-Performance Computing Meets Software Testing: Distributed Fuzzing using MPI
by: Caliandro, Pierciro, et al.
Published: (2025)
by: Caliandro, Pierciro, et al.
Published: (2025)
Gender Dynamics in Software Engineering: Insights from Research on Concurrency Bug Reproduction
by: Zaman, Tarannum Shaila, et al.
Published: (2025)
by: Zaman, Tarannum Shaila, et al.
Published: (2025)
Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
by: Shah, Mehil B, et al.
Published: (2024)
by: Shah, Mehil B, et al.
Published: (2024)
BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
by: Mukherjee, Usmi, et al.
Published: (2023)
by: Mukherjee, Usmi, et al.
Published: (2023)
Detecting Metadata-Related Bugs in Enterprise Applications
by: Kabir, Md Mahir Asef, et al.
Published: (2025)
by: Kabir, Md Mahir Asef, et al.
Published: (2025)
Feature Slice Matching for Precise Bug Detection
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
TreeMind: Automatically Reproducing Android Bug Reports via LLM-empowered Monte Carlo Tree Search
by: Chen, Zhengyu, et al.
Published: (2025)
by: Chen, Zhengyu, et al.
Published: (2025)
Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study
by: Yousuf, Mir Mohammad, et al.
Published: (2025)
by: Yousuf, Mir Mohammad, et al.
Published: (2025)
Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
by: Melin, Eric L., et al.
Published: (2025)
by: Melin, Eric L., et al.
Published: (2025)
Automatic Platform Configuration and Software Integration for Software-Defined Vehicles
by: Pan, Fengjunjie, et al.
Published: (2024)
by: Pan, Fengjunjie, et al.
Published: (2024)
Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports
by: Ouédraogo, Wendkûuni C., et al.
Published: (2023)
by: Ouédraogo, Wendkûuni C., et al.
Published: (2023)
Bug Whispering: Towards Audio Bug Reporting
by: Masserini, Elena, et al.
Published: (2025)
by: Masserini, Elena, et al.
Published: (2025)
Agent-Driven Automatic Software Improvement
by: Ruiz, Fernando Vallecillos
Published: (2024)
by: Ruiz, Fernando Vallecillos
Published: (2024)
Bugs in the Shadows: Static Detection of Faulty Python Refactorings
by: Oliveira, Jonhnanthan, et al.
Published: (2025)
by: Oliveira, Jonhnanthan, et al.
Published: (2025)
Deep Learning Based Concurrency Bug Detection and Localization
by: Feng, Zuocheng, et al.
Published: (2025)
by: Feng, Zuocheng, et al.
Published: (2025)
Duplicate Bug Report Detection: How Far Are We?
by: Zhang, Ting, et al.
Published: (2022)
by: Zhang, Ting, et al.
Published: (2022)
Similar Items
-
A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice
by: Qiao, Yunhan, et al.
Published: (2025) -
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language
by: Nitin, Vikram, et al.
Published: (2023) -
Code Comprehension with GitHub Copilot: Performance Gains, Comprehension Trade-offs, and Behavioral Predictors in Brownfield Programming
by: Qiao, Yunhan, et al.
Published: (2025) -
An Empirical Study of Interaction Bugs in ROS-based Software
by: Chen, Zhixiang, et al.
Published: (2025) -
Quantum Computing as a Service -- a Software Engineering Perspective
by: Ahmad, Aakash, et al.
Published: (2025)