Cover Image

CI/CD Configuration Practices in Open-Source Android Apps: An Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghaleb, Taher A., Abduljalil, Osamah, Hassan, Safwat
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

Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects
by: Zhou, Xiaoxin, et al.
Published: (2026)

Android Instrumentation Testing in Continuous Integration: Practices, Patterns, and Performance
by: Parsazadeh, Hamid, et al.
Published: (2026)

When AI Agents Touch CI/CD Configurations: Frequency and Success
by: Ghaleb, Taher A.
Published: (2026)

A Vision for Context-Aware CI Adoption Decisions
by: Alaini, Osamah H., et al.
Published: (2026)

From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
by: Barnes, Marcus Emmanuel, et al.
Published: (2026)

LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis
by: Barnes, Marcus Emmanuel, et al.
Published: (2026)

Can LLMs Write CI? A Study on Automatic Generation of GitHub Actions Configurations
by: Ghaleb, Taher A., et al.
Published: (2025)

Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study
by: AlMulla, Buthayna, et al.
Published: (2025)

The Promise and Reality of Continuous Integration Caching: An Empirical Study of Travis CI Builds
by: Ghaleb, Taher A., et al.
Published: (2026)

From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption
by: Chopra, Nitika, et al.
Published: (2025)

How Developers Adopt, Use, and Evolve CI/CD Caching: An Empirical Study on GitHub Actions
by: Hasan, Kazi Amit, et al.
Published: (2026)

Task-Aware Reduction for Scalable LLM-Database Systems
by: Barnes, Marcus Emmanuel, et al.
Published: (2025)

CIgrate: Automating CI Service Migration with Large Language Models
by: Hossain, Md Nazmul, et al.
Published: (2025)

Mapping GitHub Sponsorships: A Longitudinal Observatory for Open-Source Sustainability
by: Hiltz, Rylan, et al.
Published: (2026)

LLMs in Mobile Apps: Practices, Challenges, and Opportunities
by: Hau, Kimberly, et al.
Published: (2025)

An Empirical Study of Complexity, Heterogeneity, and Compliance of GitHub Actions Workflows
by: Abrokwah, Edward, et al.
Published: (2025)

A Comprehensive Multi-Vocal Empirical Study of ML Cloud Service Misuses
by: Amor, Hadil Ben, et al.
Published: (2025)

Fingerprinting AI Coding Agents on GitHub
by: Ghaleb, Taher A.
Published: (2026)

Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
by: Selvanayagam, Niruthiha, et al.
Published: (2026)

Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests
by: Pham, Dung, et al.
Published: (2026)

How Compliant Are GitHub Actions Workflows? A Checklist-Based Study with LLM-Assisted Auditing
by: Abrokwah, Edward, et al.
Published: (2026)

Security Debt in Practice: Nuanced Insights from Practitioners
by: Boufaied, Chaima, et al.
Published: (2025)

A Comparative Study of Full Apps and Lite Apps for Android
by: Tang, Yutian, et al.
Published: (2025)

Empirical Analysis on CI/CD Pipeline Evolution in Machine Learning Projects
by: Rzig, Dhia Elhaq, et al.
Published: (2024)

Testing Practices, Challenges, and Developer Perspectives in Open-Source IoT Platforms
by: Rodriguez-Cardenas, Daniel, et al.
Published: (2025)

Exploring Hidden Geographic Disparities in Android Apps
by: Alecci, M., et al.
Published: (2025)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
by: Liu, Zhijie, et al.
Published: (2024)

LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models
by: Pan, Rongqi, et al.
Published: (2023)

Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)

LLMAID: Identifying AI Capabilities in Android Apps with LLMs
by: Liu, Pei, et al.
Published: (2025)

Detecting Protracted Vulnerabilities in Open Source Projects
by: Sridharkumar, Arjun, et al.
Published: (2026)

FaaSGuard: Secure CI/CD for Serverless Applications -- An OpenFaaS Case Study
by: Barrak, Amine, et al.
Published: (2025)

Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles
by: Jo, Young, et al.
Published: (2026)

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications
by: Hasan, Mohammed Mehedi, et al.
Published: (2025)

On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source
by: Gao, Haoyu, et al.
Published: (2026)

Challenges in Android Data Disclosure: An Empirical Study
by: Khedkar, Mugdha, et al.
Published: (2026)

A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
by: Ju, Bangyan, et al.
Published: (2024)

Enhancing Software Maintenance: A Learning to Rank Approach for Co-changed Method Identification
by: Jia, Yiping, et al.
Published: (2024)

Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)

LDMDroid: Leveraging LLMs for Detecting Data Manipulation Errors in Android Apps
by: Xiao, Xiangyang, et al.
Published: (2026)