Is this Build Failure Related to my Patch? An Empirical Study of Unrelated Build Failures in Continuous Integration
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Andie, da Costa, Daniel Alencar, Dick, Grant, Mezouar, Mariam El |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Promise and Reality of Continuous Integration Caching: An Empirical Study of Travis CI Builds
by: Ghaleb, Taher A., et al.
Published: (2026)
by: Ghaleb, Taher A., et al.
Published: (2026)
On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
by: Aïdasso, Henri, et al.
Published: (2025)
by: Aïdasso, Henri, et al.
Published: (2025)
On the Need to Monitor Continuous Integration Practices -- An Empirical Study
by: Santos, Jadson, et al.
Published: (2024)
by: Santos, Jadson, et al.
Published: (2024)
Monitoring Continuous Integration Practices in Industry: A Case Study
by: Santos, Jadson, et al.
Published: (2025)
by: Santos, Jadson, et al.
Published: (2025)
How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
by: Bernardo, João Helis, et al.
Published: (2024)
by: Bernardo, João Helis, et al.
Published: (2024)
230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers
by: Alshammari, Abdulrahman, et al.
Published: (2024)
by: Alshammari, Abdulrahman, et al.
Published: (2024)
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
by: Hong, Yang, et al.
Published: (2024)
by: Hong, Yang, et al.
Published: (2024)
How Execution Features Relate to Failures: An Empirical Study and Diagnosis Approach
by: Smytzek, Marius, et al.
Published: (2025)
by: Smytzek, Marius, et al.
Published: (2025)
Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support
by: Lei, Fangjian, et al.
Published: (2025)
by: Lei, Fangjian, et al.
Published: (2025)
Dissecting Bug Triggers and Failure Modes in Modern Agentic Frameworks: An Empirical Study
by: Zhang, Xiaowen, et al.
Published: (2026)
by: Zhang, Xiaowen, et al.
Published: (2026)
Diagnosing and Resolving Android Applications Building Issues: An Empirical Study
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)
An Empirical Study on Failures in Automated Issue Solving
by: Liu, Simiao, et al.
Published: (2025)
by: Liu, Simiao, et al.
Published: (2025)
Does Using Bazel Help Speed Up Continuous Integration Builds?
by: Zheng, Shenyu, et al.
Published: (2024)
by: Zheng, Shenyu, et al.
Published: (2024)
Systemic Flakiness: An Empirical Analysis of Co-Occurring Flaky Test Failures
by: Parry, Owain, et al.
Published: (2025)
by: Parry, Owain, et al.
Published: (2025)
Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories
by: Majgaonkar, Oorja, et al.
Published: (2025)
by: Majgaonkar, Oorja, et al.
Published: (2025)
A Practical Framework for Flaky Failure Triage in Distributed Database Continuous Integration
by: Zhu, Jun-Peng, et al.
Published: (2026)
by: Zhu, Jun-Peng, et al.
Published: (2026)
Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
by: Shen, Jianru, et al.
Published: (2026)
by: Shen, Jianru, et al.
Published: (2026)
Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations
by: Fathollahzadeh, Pouya, et al.
Published: (2025)
by: Fathollahzadeh, Pouya, et al.
Published: (2025)
AI builds, We Analyze: An Empirical Study of AI-Generated Build Code Quality
by: Ghammam, Anwar, et al.
Published: (2026)
by: Ghammam, Anwar, et al.
Published: (2026)
On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure Categories
by: Aïdasso, Henri, et al.
Published: (2025)
by: Aïdasso, Henri, et al.
Published: (2025)
TrustOps: Continuously Building Trustworthy Software
by: Brito, Eduardo, et al.
Published: (2024)
by: Brito, Eduardo, et al.
Published: (2024)
Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times
by: Yıldıran, Necip Fazıl, et al.
Published: (2024)
by: Yıldıran, Necip Fazıl, et al.
Published: (2024)
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics -- Empirical Study on Brown Build and Risk Prediction
by: Olewicki, Doriane, et al.
Published: (2023)
by: Olewicki, Doriane, et al.
Published: (2023)
Continuous Integration Practices in Machine Learning Projects: The Practitioners` Perspective
by: Bernardo, João Helis, et al.
Published: (2025)
by: Bernardo, João Helis, et al.
Published: (2025)
Detecting Build Dependency Errors in Incremental Builds
by: Lyu, Jun, et al.
Published: (2024)
by: Lyu, Jun, et al.
Published: (2024)
Build Code Needs Maintenance Too: A Study on Refactoring and Technical Debt in Build Systems
by: Ghammam, Anwar, et al.
Published: (2025)
by: Ghammam, Anwar, et al.
Published: (2025)
Studying and Understanding the Effectiveness and Failures of Conversational LLM-Based Repair
by: Chen, Aolin, et al.
Published: (2025)
by: Chen, Aolin, et al.
Published: (2025)
Revisiting Vulnerability Patch Localization: An Empirical Study and LLM-Based Solution
by: Xu, Haoran, et al.
Published: (2025)
by: Xu, Haoran, et al.
Published: (2025)
An Exploratory Study on Build Issue Resolution Among Computer Science Students
by: Huang, Sunzhou, et al.
Published: (2025)
by: Huang, Sunzhou, et al.
Published: (2025)
SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics
by: Cao, Yuchen, et al.
Published: (2026)
by: Cao, Yuchen, et al.
Published: (2026)
Your Build Scripts Stink: The State of Code Smells in Build Scripts
by: Tamanna, Mahzabin, et al.
Published: (2025)
by: Tamanna, Mahzabin, et al.
Published: (2025)
Build Issue Resolution from the Perspective of Non-Contributors
by: Huang, Sunzhou, et al.
Published: (2024)
by: Huang, Sunzhou, et al.
Published: (2024)
LLM-Based Automated Diagnosis Of Integration Test Failures At Google
by: Ziftci, Celal, et al.
Published: (2026)
by: Ziftci, Celal, et al.
Published: (2026)
Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios
by: Rakha, Mohamed Sami, et al.
Published: (2025)
by: Rakha, Mohamed Sami, et al.
Published: (2025)
A Dataset of Reproducible Flaky-Test Failures
by: Rafi, Suzzana, et al.
Published: (2026)
by: Rafi, Suzzana, et al.
Published: (2026)
The Cost of Downgrading Build Systems: A Case Study of Kubernetes
by: Ranjan, Gareema, et al.
Published: (2025)
by: Ranjan, Gareema, et al.
Published: (2025)
Characterizing the Failure Modes of LLMs in Resolving Real-World GitHub Issues
by: Jiang, Yanjie, et al.
Published: (2026)
by: Jiang, Yanjie, et al.
Published: (2026)
FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair
by: Ma, Ruize, et al.
Published: (2026)
by: Ma, Ruize, et al.
Published: (2026)
PREVENT: An Unsupervised Approach to Predict Software Failures in Production
by: Denaro, Giovanni, et al.
Published: (2022)
by: Denaro, Giovanni, et al.
Published: (2022)
Learning From Lessons Learned: Preliminary Findings From a Study of Learning From Failure
by: Sillito, Jonathan, et al.
Published: (2024)
by: Sillito, Jonathan, et al.
Published: (2024)
Similar Items
-
The Promise and Reality of Continuous Integration Caching: An Empirical Study of Travis CI Builds
by: Ghaleb, Taher A., et al.
Published: (2026) -
On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
by: Aïdasso, Henri, et al.
Published: (2025) -
On the Need to Monitor Continuous Integration Practices -- An Empirical Study
by: Santos, Jadson, et al.
Published: (2024) -
Monitoring Continuous Integration Practices in Industry: A Case Study
by: Santos, Jadson, et al.
Published: (2025) -
How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
by: Bernardo, João Helis, et al.
Published: (2024)