Cover Image

Ranking Plausible Patches by Historic Feature Frequencies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhuiyan, Shifat Sahariar, Tiwari, Abhishek, Pei, Yu, Furia, Carlo A.
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Challenges of Multilingual Program Specification and Analysis
by: Furia, Carlo A., et al.
Published: (2024)

FauxPy: A Fault Localization Tool for Python
by: Rezaalipour, Mohammad, et al.
Published: (2024)

An Annotation-based Approach for Finding Bugs in Neural Network Programs
by: Rezaalipour, Mohammad, et al.
Published: (2021)

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

Mitigating Omitted Variable Bias in Empirical Software Engineering
by: Furia, Carlo A., et al.
Published: (2025)

Automated Repair of Resource Leaks in Android Applications
by: Bhatt, Bhargav Nagaraja, et al.
Published: (2020)

ShellFuzzer: Grammar-based Fuzzing of Shell Interpreters
by: Felici, Riccardo, et al.
Published: (2024)

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions
by: Furia, Carlo A., et al.
Published: (2023)

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
by: Furia, Carlo A., et al.
Published: (2021)

RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
by: Xu, Tongtong, et al.
Published: (2019)

What Makes a Level Hard in Super Mario Maker 2?
by: Furia, Carlo A., et al.
Published: (2025)

Bayesian Data Analysis in Empirical Software Engineering Research
by: Furia, Carlo A., et al.
Published: (2018)

Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
by: Frattini, Julian, et al.
Published: (2026)

HyperPUT: Generating Synthetic Faulty Programs to Challenge Bug-Finding Tools
by: Felici, Riccardo, et al.
Published: (2022)

Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
by: Ruohonen, Jukka, et al.
Published: (2025)

Empirical Derivations from an Evolving Test Suite
by: Ruohonen, Jukka, et al.
Published: (2025)

Evolution of statistical analysis in empirical software engineering research: Current state and steps forward
by: Neto, Francisco Gomes de Oliveira, et al.
Published: (2017)

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

A Method to Assess and Argue for Practical Significance in Software Engineering
by: Torkar, Richard, et al.
Published: (2018)

Improving Code Comprehension through Cognitive-Load Aware Automated Refactoring for Novice Programmers
by: Saha, Subarna, et al.
Published: (2026)

Parameter-Efficient Fine-Tuning with Attributed Patch Semantic Graph for Automated Patch Correctness Assessment
by: Yang, Zhenyu, et al.
Published: (2025)

Towards Systematic Specification and Verification of Fairness Requirements: A Position Paper
by: Ramadan, Qusai, et al.
Published: (2025)

Patch Validation in Automated Vulnerability Repair
by: Yu, Zheng, et al.
Published: (2026)

Towards Analyzing N-language Polyglot Programs
by: Prakash, Jyoti, et al.
Published: (2026)

Test-based Patch Clustering for Automatically-Generated Patches Assessment
by: Martinez, Matias, et al.
Published: (2022)

PatchZero: Zero-Shot Automatic Patch Correctness Assessment
by: Zhou, Xin, et al.
Published: (2023)

Beyond Crash-to-Patch: Patch Evolution for Linux Kernel Repair
by: Bai, Luyao, et al.
Published: (2026)

Patch-CLIP: A Patch-Text Pre-Trained Model
by: Tang, Xunzhu, et al.
Published: (2023)

Beyond Code Similarity: Benchmarking the Plausibility, Efficiency, and Complexity of LLM-Generated Smart Contracts
by: Salzano, Francesco, et al.
Published: (2025)

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests
by: Chen, Mouxiang, et al.
Published: (2024)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
by: Shifat, Fariha Tanjim, et al.
Published: (2026)

PatchGuru: Patch Oracle Inference from Natural Language Artifacts with Large Language Models
by: Le-Cong, Thanh, et al.
Published: (2026)

Automated Description Generation for Software Patches
by: Vu, Thanh Trong, et al.
Published: (2024)

Mitigating Implicit Inconsistencies in Patch Porting
by: Pan, Shengyi, et al.
Published: (2026)

Automating TODO-missed Methods Detection and Patching
by: Gao, Zhipeng, et al.
Published: (2024)

PAGENT: Learning to Patch Software Engineering Agents
by: Xue, Haoran, et al.
Published: (2025)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
by: Liu, Kaibo, et al.
Published: (2024)

Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
by: Liu, Mingwei, et al.
Published: (2026)

Automating Zero-Shot Patch Porting for Hard Forks
by: Pan, Shengyi, et al.
Published: (2024)

Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques
by: Williams, David, et al.
Published: (2026)