Cover Image

Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rafi, Md Nakhla, Chen, An Ran, Chen, Tse-Hsun, Wang, Shaohua
Format:	Preprint
Published:	2023
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
by: Rafi, Md Nakhla, et al.
Published: (2024)

Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation
by: Rafi, Md Nakhla, et al.
Published: (2024)

A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and Reflexion
by: Rafi, Md Nakhla, et al.
Published: (2024)

Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization
by: Rafi, Md Nakhla, et al.
Published: (2024)

CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows
by: Muna, Rabeya Khatun, et al.
Published: (2026)

Evaluating Software Process Models for Multi-Agent Class-Level Code Generation
by: Shafin, Wasique Islam, et al.
Published: (2025)

Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization
by: Uddin, Md. Ashraf, et al.
Published: (2025)

Crash Report Enhancement with Large Language Models: An Empirical Study
by: Fahim, S M Farah Al, et al.
Published: (2025)

Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents
by: Tse-Hsun, et al.
Published: (2026)

Empowering AIOps: Leveraging Large Language Models for IT Operations Management
by: Vitui, Arthur, et al.
Published: (2025)

On Rank Aggregating Test Prioritizations
by: Mondal, Shouvick, et al.
Published: (2024)

LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
by: Ma, Zeyang, et al.
Published: (2024)

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications
by: Liu, Wei, et al.
Published: (2024)

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
by: He, Pengfei, et al.
Published: (2025)

SLICET5: Static Program Slicing using Language Models with Copy Mechanism and Constrained Decoding
by: He, Pengfei, et al.
Published: (2025)

SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)

Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks
by: He, Pengfei, et al.
Published: (2024)

A Survey of Code Review Benchmarks and Evaluation Practices in Pre-LLM and LLM Era
by: Khan, Taufiqul Islam, et al.
Published: (2026)

An Anatomy of 488 Faults from Defects4J Based on the Control- and Data-Flow Graph Representations of Programs
by: van der Spuy, Alexandra, et al.
Published: (2025)

Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
by: Wang, Zehao, et al.
Published: (2024)

Enhancing LLM-based Fault Localization with a Functionality-Aware Retrieval-Augmented Generation Framework
by: Shi, Xinyu, et al.
Published: (2025)

Studying and Benchmarking Large Language Models For Log Level Suggestion
by: Heng, Yi Wen, et al.
Published: (2024)

Are Benchmark Tests Strong Enough? Mutation-Guided Diagnosis and Augmentation of Regression Suites
by: Li, Chenglin, et al.
Published: (2026)

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair
by: Li, Chenglin, et al.
Published: (2026)

When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation
by: Ashik, Ahmed Nusayer, et al.
Published: (2026)

PopSweeper: Automatically Detecting and Resolving App-Blocking Pop-Ups to Assist Automated Mobile GUI Testing
by: Guo, Linqiang, et al.
Published: (2024)

LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
by: Ma, Zeyang, et al.
Published: (2024)

MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
by: Xu, Yisen, et al.
Published: (2025)

GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts
by: Liu, Wei, et al.
Published: (2025)

Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures
by: Heng, Yi Wen, et al.
Published: (2024)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
by: Kabir, Azmain, et al.
Published: (2024)

Impact of Large Language Models of Code on Fault Localization
by: Ji, Suhwan, et al.
Published: (2024)

MobileUPReg: Identifying User-Perceived Performance Regressions in Mobile OS Versions
by: Liu, Wei, et al.
Published: (2025)

Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
by: Tire, Kutay, et al.
Published: (2025)

An Empirical Study of Fault Localization in Python Programs
by: Rezaalipour, Mohammad, et al.
Published: (2023)

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
by: He, Pengfei, et al.
Published: (2026)

FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
by: Liu, Hengyuan, et al.
Published: (2025)

Fault Localization from the Semantic Code Search Perspective
by: Qin, Yihao, et al.
Published: (2024)

Large Language Models for Fault Localization: An Empirical Study
by: Xiao, YingJian, et al.
Published: (2025)

Screencast-Based Analysis of User-Perceived GUI Responsiveness
by: Liu, Wei, et al.
Published: (2025)