Cover Image

A Large Language Model Approach to Identify Flakiness in C++ Projects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Xin, Ståhl, Daniel, Sandahl, Kristian
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

Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
by: Sun, Xin, et al.
Published: (2025)

A Generic Approach to Fix Test Flakiness in Real-World Projects
by: Chen, Yang, et al.
Published: (2024)

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
by: Kaur, Khushdeep, et al.
Published: (2025)

Cross-Project Flakiness: A Case Study of the OpenStack Ecosystem
by: Xiao, Tao, et al.
Published: (2026)

A Preliminary Study of Fixed Flaky Tests in Rust Projects on GitHub
by: Schroeder, Tom, et al.
Published: (2025)

Systemic Flakiness: An Empirical Analysis of Co-Occurring Flaky Test Failures
by: Parry, Owain, et al.
Published: (2025)

Detecting Flaky Tests in Quantum Software: A Dynamic Approach
by: Kim, Dongchan, et al.
Published: (2025)

FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
by: Fatima, Sakina, et al.
Published: (2023)

Dockerfile Flakiness: Characterization and Repair
by: Shabani, Taha, et al.
Published: (2024)

A Dataset of Reproducible Flaky-Test Failures
by: Rafi, Suzzana, et al.
Published: (2026)

The Effects of Computational Resources on Flaky Tests
by: Silva, Denini, et al.
Published: (2023)

Automated Test Validators for Flaky Cyber-Physical System Simulators: Approach and Evaluation
by: Jodat, Baharin A., et al.
Published: (2025)

The Vocabulary of Flaky Tests in the Context of SAP HANA
by: Berndt, Alexander, et al.
Published: (2026)

Detecting and Mitigating Flakiness in REST API Fuzzing
by: Zhang, Man, et al.
Published: (2026)

A Systematic Evaluation of Environmental Flakiness in JavaScript Tests
by: Hashemi, Negar, et al.
Published: (2026)

Taming Timeout Flakiness: An Empirical Study of SAP HANA
by: Berndt, Alexander, et al.
Published: (2024)

Identifying and Mitigating API Misuse in Large Language Models
by: Zhuo, Terry Yue, et al.
Published: (2025)

JS-TOD: Detecting Order-Dependent Flaky Tests in Jest
by: Hashemi, Negar, et al.
Published: (2025)

On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure Categories
by: Aïdasso, Henri, et al.
Published: (2025)

Detecting and Evaluating Order-Dependent Flaky Tests in JavaScript
by: Hashemi, Negar, et al.
Published: (2025)

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification
by: Hoque, Khondaker Tasnia, et al.
Published: (2026)

A Practical Framework for Flaky Failure Triage in Distributed Database Continuous Integration
by: Zhu, Jun-Peng, et al.
Published: (2026)

FlakeRanker: Automated Identification and Prioritization of Flaky Job Failure Categories
by: Aïdasso, Henri
Published: (2025)

Flaky Tests in a Large Industrial Database Management System: An Empirical Study of Fixed Issue Reports for SAP HANA
by: Berndt, Alexander, et al.
Published: (2026)

Do Test and Environmental Complexity Increase Flakiness? An Empirical Study of SAP HANA
by: Berndt, Alexander, et al.
Published: (2024)

230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers
by: Alshammari, Abdulrahman, et al.
Published: (2024)

On the Flakiness of LLM-Generated Tests for Industrial and Open-Source Database Management Systems
by: Berndt, Alexander, et al.
Published: (2026)

Reduction of Test Re-runs by Prioritizing Potential Order Dependent Flaky Tests
by: Iqbal, Hasnain, et al.
Published: (2025)

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis
by: Rasheed, Zeeshan, et al.
Published: (2024)

FlakyGuard: Automatically Fixing Flaky Tests at Industry Scale
by: Li, Chengpeng, et al.
Published: (2025)

WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests
by: Liu, Xinyue, et al.
Published: (2024)

Can We Classify Flaky Tests Using Only Test Code? An LLM-Based Empirical Study
by: Berndt, Alexander, et al.
Published: (2026)

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
by: Zhou, Xin, et al.
Published: (2024)

Towards Explainable Vulnerability Detection with Large Language Models
by: Mao, Qiheng, et al.
Published: (2024)

Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)

FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
by: Lin, Shizhe, et al.
Published: (2024)

Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models
by: Sartaj, Hassan, et al.
Published: (2025)

Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis
by: Sivaloganathan, Janakan, et al.
Published: (2024)

Evaluating Language Model Applications for Identifying Solution-Related Content in Issue Report Discussions
by: Saha, Antu, et al.
Published: (2025)

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects
by: Carpenter, Justin, et al.
Published: (2024)