HistoryFinder: Advancing Method-Level Source Code History Generation with Accurate Oracles and Enhanced Algorithm
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Islam, Shahidul, Aowal, Ashik, Uddin, Md Sharif, Chowdhury, Shaiful |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Understanding the Issue Types in Open Source Blockchain-based Software Projects with the Transformer-based BERTopic
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
par: Islam, Shahidul, et autres
Publié: (2025)
par: Islam, Shahidul, et autres
Publié: (2025)
The Repeat Offenders: Characterizing and Predicting Extremely Bug-Prone Source Methods
par: Friesen, Ethan, et autres
Publié: (2025)
par: Friesen, Ethan, et autres
Publié: (2025)
The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception
par: Chowdhury, Shaiful
Publié: (2024)
par: Chowdhury, Shaiful
Publié: (2024)
LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
An Empirical Study on Bug Severity Estimation using Source Code Metrics and Static Analysis
par: Mashhadi, Ehsan, et autres
Publié: (2022)
par: Mashhadi, Ehsan, et autres
Publié: (2022)
Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
par: Chowdhury, Shaiful, et autres
Publié: (2024)
par: Chowdhury, Shaiful, et autres
Publié: (2024)
A Systematic Mapping Study of Crowd Knowledge Enhanced Software Engineering Research Using Stack Overflow
par: Tanzil, Minaoar, et autres
Publié: (2024)
par: Tanzil, Minaoar, et autres
Publié: (2024)
How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based Study
par: Mitul, Tanjum Motin, et autres
Publié: (2025)
par: Mitul, Tanjum Motin, et autres
Publié: (2025)
Exploring Challenges in Test Mocking: Developer Questions and Insights from StackOverflow
par: Ahmed, Mumtahina, et autres
Publié: (2025)
par: Ahmed, Mumtahina, et autres
Publié: (2025)
Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch?
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)
Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks
par: He, Pengfei, et autres
Publié: (2024)
par: He, Pengfei, et autres
Publié: (2024)
Robotics Meets Software Engineering: A First Look at the Robotics Discussions on Stackoverflow
par: Kidwai, Hisham, et autres
Publié: (2024)
par: Kidwai, Hisham, et autres
Publié: (2024)
Context Before Code: An Experience Report on Vibe Coding in Practice
par: Shuvo, Md Nasir Uddin, et autres
Publié: (2026)
par: Shuvo, Md Nasir Uddin, et autres
Publié: (2026)
Applications and Challenges of Fairness APIs in Machine Learning Software
par: Das, Ajoy, et autres
Publié: (2025)
par: Das, Ajoy, et autres
Publié: (2025)
Unsafe and Unused? A History of Utility Code in Mature Open Source Projects
par: Keller, Brandon, et autres
Publié: (2026)
par: Keller, Brandon, et autres
Publié: (2026)
Evaluating Software Process Models for Multi-Agent Class-Level Code Generation
par: Shafin, Wasique Islam, et autres
Publié: (2025)
par: Shafin, Wasique Islam, et autres
Publié: (2025)
Dependency Dilemmas: A Comparative Study of Independent and Dependent Artifacts in Maven Central Ecosystem
par: Shanto, Mehedi Hasan, et autres
Publié: (2025)
par: Shanto, Mehedi Hasan, et autres
Publié: (2025)
Bug Histories as Sources of Compiler Fuzzing Mutators
par: Liu, Lingjun, et autres
Publié: (2025)
par: Liu, Lingjun, et autres
Publié: (2025)
Generating Accurate OpenAPI Descriptions from Java Source Code
par: Lercher, Alexander, et autres
Publié: (2024)
par: Lercher, Alexander, et autres
Publié: (2024)
Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation
par: Mamun, Md Afif Al, et autres
Publié: (2026)
par: Mamun, Md Afif Al, et autres
Publié: (2026)
Encoding Version History Context for Better Code Representation
par: Nguyen, Huy, et autres
Publié: (2024)
par: Nguyen, Huy, et autres
Publié: (2024)
CodeT5-RNN: Reinforcing Contextual Embeddings for Enhanced Code Comprehension
par: Rahman, Md Mostafizer, et autres
Publié: (2026)
par: Rahman, Md Mostafizer, et autres
Publié: (2026)
Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code
par: Sultan, Md. Fahim, et autres
Publié: (2024)
par: Sultan, Md. Fahim, et autres
Publié: (2024)
When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation
par: Ashik, Ahmed Nusayer, et autres
Publié: (2026)
par: Ashik, Ahmed Nusayer, et autres
Publié: (2026)
Temporal Modeling of Change History for Black-Box Test Suite Minimization
par: Asif, Kamruzzaman, et autres
Publié: (2026)
par: Asif, Kamruzzaman, et autres
Publié: (2026)
From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification
par: Erfan, Md, et autres
Publié: (2026)
par: Erfan, Md, et autres
Publié: (2026)
OpenCAMS: An Open-Source Connected and Automated Mobility Co-Simulation Platform for Advancing Next-Generation Intelligent Transportation Systems Research
par: Ahmad, Minhaj Uddin, et autres
Publié: (2025)
par: Ahmad, Minhaj Uddin, et autres
Publié: (2025)
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
par: Hussain, Aftab, et autres
Publié: (2023)
par: Hussain, Aftab, et autres
Publié: (2023)
BLAgent: Agentic RAG for File-Level Bug Localization
par: Mamun, Md Afif Al, et autres
Publié: (2026)
par: Mamun, Md Afif Al, et autres
Publié: (2026)
Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding
par: Billah, Md Mustakim, et autres
Publié: (2025)
par: Billah, Md Mustakim, et autres
Publié: (2025)
Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories
par: An, Gabin, et autres
Publié: (2025)
par: An, Gabin, et autres
Publié: (2025)
SWE-Bench+: Enhanced Coding Benchmark for LLMs
par: Aleithan, Reem, et autres
Publié: (2024)
par: Aleithan, Reem, et autres
Publié: (2024)
Understanding Emojis :) in Useful Code Review Comments
par: Ahmed, Sharif, et autres
Publié: (2024)
par: Ahmed, Sharif, et autres
Publié: (2024)
Automatic High-Level Test Case Generation using Large Language Models
par: Hasan, Navid Bin, et autres
Publié: (2025)
par: Hasan, Navid Bin, et autres
Publié: (2025)
SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents
par: Dihan, Mahir Labib, et autres
Publié: (2026)
par: Dihan, Mahir Labib, et autres
Publié: (2026)
Think Harder and Don't Overlook Your Options: Revisiting Issue-Commit Linking with LLM-Assisted Retrieval
par: Morgan, Cole, et autres
Publié: (2026)
par: Morgan, Cole, et autres
Publié: (2026)
A Task-Level Evaluation of AI Agents in Open-Source Projects
par: Rahman, Shojibur, et autres
Publié: (2026)
par: Rahman, Shojibur, et autres
Publié: (2026)
Code Researcher: Deep Research Agent for Large Systems Code and Commit History
par: Singh, Ramneet, et autres
Publié: (2025)
par: Singh, Ramneet, et autres
Publié: (2025)
Documents similaires
-
Understanding the Issue Types in Open Source Blockchain-based Software Projects with the Transformer-based BERTopic
par: Opu, Md Nahidul Islam, et autres
Publié: (2025) -
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
par: Islam, Shahidul, et autres
Publié: (2025) -
The Repeat Offenders: Characterizing and Predicting Extremely Bug-Prone Source Methods
par: Friesen, Ethan, et autres
Publié: (2025) -
The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception
par: Chowdhury, Shaiful
Publié: (2024) -
LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets
par: Opu, Md Nahidul Islam, et autres
Publié: (2025)