A Learning Support Method for Multi-threaded Programs Using Trace Tables
Fuente:
arXiv
Saved in:
| Main Authors: | Murata, Takumi, Hashiura, Hiroaki |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Proposal for a Debugging Learning Support Environment for Undergraduate Students Majoring in Computer Science
by: Kanaya, Aoi, et al.
Published: (2024)
by: Kanaya, Aoi, et al.
Published: (2024)
A Method for Assisting Novices Creating Class Diagrams Based on the Instructor's Class Layout
by: Saito, Yuta, et al.
Published: (2025)
by: Saito, Yuta, et al.
Published: (2025)
Development of an automatic modification system for generated programs using ChatGPT
by: Yoshida, Jun, et al.
Published: (2024)
by: Yoshida, Jun, et al.
Published: (2024)
A Learning Method for Symbolic Systems Using Large Language Models
by: Fang, Jian, et al.
Published: (2026)
by: Fang, Jian, et al.
Published: (2026)
GENCNIPPET: Automated Generation of Code Snippets for Supporting Programming Questions
by: Mondal, Saikat, et al.
Published: (2025)
by: Mondal, Saikat, et al.
Published: (2025)
Using Logs to support Programming Education
by: Nascimento, Gilmar Gomes do, et al.
Published: (2026)
by: Nascimento, Gilmar Gomes do, et al.
Published: (2026)
Validating Traces of Distributed Programs Against TLA+ Specifications
by: Cirstea, Horatiu, et al.
Published: (2024)
by: Cirstea, Horatiu, et al.
Published: (2024)
Tracezip: Efficient Distributed Tracing via Trace Compression
by: Chen, Zhuangbin, et al.
Published: (2025)
by: Chen, Zhuangbin, et al.
Published: (2025)
Using LLMs and Essence to Support Software Practice Adoption
by: Nicoletti, Sonia, et al.
Published: (2025)
by: Nicoletti, Sonia, et al.
Published: (2025)
An Empirical Study on Low-Code Programming using Traditional vs Large Language Model Support
by: Liu, Yongkun, et al.
Published: (2024)
by: Liu, Yongkun, et al.
Published: (2024)
Tool for Supporting Debugging and Understanding of Normative Requirements Using LLMs
by: Kleijwegt, Alex, et al.
Published: (2025)
by: Kleijwegt, Alex, et al.
Published: (2025)
Language Models to Support Multi-Label Classification of Industrial Data
by: Abdeen, Waleed, et al.
Published: (2025)
by: Abdeen, Waleed, et al.
Published: (2025)
Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach
by: Muttillo, Vittoriano, et al.
Published: (2024)
by: Muttillo, Vittoriano, et al.
Published: (2024)
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
by: Haque, Mirazul, et al.
Published: (2025)
by: Haque, Mirazul, et al.
Published: (2025)
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
by: Ippisch, Niklas, et al.
Published: (2024)
by: Ippisch, Niklas, et al.
Published: (2024)
MultiMend: Multilingual Program Repair with Context Augmentation and Multi-Hunk Patch Generation
by: Gharibi, Reza, et al.
Published: (2025)
by: Gharibi, Reza, et al.
Published: (2025)
Automated Repair of C Programs Using Large Language Models
by: Farzandway, Mahdi, et al.
Published: (2025)
by: Farzandway, Mahdi, et al.
Published: (2025)
Combining Static Analysis Techniques for Program Comprehension Using Slicito
by: Husák, Robert, et al.
Published: (2025)
by: Husák, Robert, et al.
Published: (2025)
Search-based Trace Diagnostic
by: Araujo, Gabriel, et al.
Published: (2024)
by: Araujo, Gabriel, et al.
Published: (2024)
Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing
by: Wu, Yulun, et al.
Published: (2025)
by: Wu, Yulun, et al.
Published: (2025)
Q&A MAESTRO: Q&A Post Recommendation for Fixing Java Runtime Exceptions
by: Kimura, Yusuke, et al.
Published: (2021)
by: Kimura, Yusuke, et al.
Published: (2021)
Model-based Development for Autonomous Driving Software Considering Parallelization
by: Obi, Kenshin, et al.
Published: (2025)
by: Obi, Kenshin, et al.
Published: (2025)
AI Observability for Large Language Model Systems: A Multi-Layer Analysis of Monitoring Approaches from Confidence Calibration to Infrastructure Tracing
by: Sisodia, Twinkll
Published: (2026)
by: Sisodia, Twinkll
Published: (2026)
A simple and fast C++ thread pool implementation capable of running task graphs
by: Puyda, Dmytro
Published: (2024)
by: Puyda, Dmytro
Published: (2024)
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
by: Gao, Weibo, et al.
Published: (2025)
by: Gao, Weibo, et al.
Published: (2025)
An Exploratory Study on Just-in-Time Multi-Programming-Language Bug Prediction
by: Li, Zengyang, et al.
Published: (2024)
by: Li, Zengyang, et al.
Published: (2024)
Error Understanding in Program Code With LLM-DL for Multi-label Classification
by: Amin, Md Faizul Ibne, et al.
Published: (2026)
by: Amin, Md Faizul Ibne, et al.
Published: (2026)
M2QCode: A Model-Driven Framework for Generating Multi-Platform Quantum Programs
by: Guo, Xiaoyu, et al.
Published: (2025)
by: Guo, Xiaoyu, et al.
Published: (2025)
Decentralized FaaS over Multi-Clouds with Blockchain based Management for Supporting Emerging Applications
by: Karanjai, Rabimba, et al.
Published: (2024)
by: Karanjai, Rabimba, et al.
Published: (2024)
Empirical Evaluation of Taxonomic Trace Links: A Case Study
by: Abdeen, Waleed, et al.
Published: (2026)
by: Abdeen, Waleed, et al.
Published: (2026)
From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool
by: Shahedi, Kaveh, et al.
Published: (2025)
by: Shahedi, Kaveh, et al.
Published: (2025)
An Empirical Study on Noisy Label Learning for Program Understanding
by: Wang, Wenhan, et al.
Published: (2023)
by: Wang, Wenhan, et al.
Published: (2023)
Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
by: Kim, Jaewook, et al.
Published: (2026)
by: Kim, Jaewook, et al.
Published: (2026)
Evaluating Non-English Developer Support in Machine Learning for Software Engineering
by: Katzy, Jonathan, et al.
Published: (2026)
by: Katzy, Jonathan, et al.
Published: (2026)
Guiding Principles for Using Mixed Methods Research in Software Engineering
by: Storey, Margaret-Anne, et al.
Published: (2024)
by: Storey, Margaret-Anne, et al.
Published: (2024)
Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks
by: Yang-Smith, Corey, et al.
Published: (2025)
by: Yang-Smith, Corey, et al.
Published: (2025)
Evaluating Design Conformance Through Trace Comparison
by: Anderson, Reid, et al.
Published: (2026)
by: Anderson, Reid, et al.
Published: (2026)
Tracing Distribution Shifts with Causal System Maps
by: Leest, Joran, et al.
Published: (2025)
by: Leest, Joran, et al.
Published: (2025)
Simple Fault Localization using Execution Traces
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
Similar Items
-
A Proposal for a Debugging Learning Support Environment for Undergraduate Students Majoring in Computer Science
by: Kanaya, Aoi, et al.
Published: (2024) -
A Method for Assisting Novices Creating Class Diagrams Based on the Instructor's Class Layout
by: Saito, Yuta, et al.
Published: (2025) -
Development of an automatic modification system for generated programs using ChatGPT
by: Yoshida, Jun, et al.
Published: (2024) -
A Learning Method for Symbolic Systems Using Large Language Models
by: Fang, Jian, et al.
Published: (2026) -
GENCNIPPET: Automated Generation of Code Snippets for Supporting Programming Questions
by: Mondal, Saikat, et al.
Published: (2025)