Cover Image

Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ngo, Tung T., Van, Dai Nguyen, Nguyen, Anh-Minh, Do, Phuong-Anh, Nguyen-Quoc, Anh
Format:	Preprint
Published:	2026
Subjects:	Human-Computer Interaction Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
by: Nguyen, The Anh, et al.
Published: (2025)

Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)

Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
by: Nghiem, Khanh, et al.
Published: (2024)

Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests
by: Naulty, John, et al.
Published: (2025)

Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis
by: Ferreyra, Nicolás E. Díaz, et al.
Published: (2026)

Security Concerns in Generative AI Coding Assistants: Insights from Online Discussions on GitHub Copilot
by: Ferreyra, Nicolás E. Díaz, et al.
Published: (2026)

"I need to learn better searching tactics for privacy policy laws." Investigating Software Developers' Behavior When Using Sources on Privacy Issues
by: Horstmann, Stefan Albert, et al.
Published: (2025)

LightSC: The Making of a Usable Security Classification Tool for DevSecOps
by: Shrestha, Manish, et al.
Published: (2024)

Civil Servants as Builders: Enabling Non-IT Staff to Develop Secure Python and R Tools
by: Sharma, Prashant
Published: (2025)

PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android
by: Khalilov, Ibrahim, et al.
Published: (2026)

No Silver Bullet: Towards Demonstrating Secure Software Development for Danish Small and Medium Enterprises in a Business-to-Business Model
by: Asadi, Raha, et al.
Published: (2025)

Exploring User Privacy Awareness on GitHub: An Empirical Study
by: Alfieri, Costanza, et al.
Published: (2024)

XRZoo: A Large-Scale and Versatile Dataset of Extended Reality (XR) Applications
by: Li, Shuqing, et al.
Published: (2024)

Blockly2Hooks: Smart Contracts for Everyone with the XRP Ledger and Google Blockly
by: Trestioreanu, Lucian, et al.
Published: (2025)

Metaverse Security and Privacy Research: A Systematic Review
by: Rahartomo, Argianto, et al.
Published: (2025)

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer
by: Deng, Jiangyi, et al.
Published: (2024)

Empirical Analysis of Sri Lankan Mobile Health Ecosystem: A Precursor to an Effective Stakeholder Engagement
by: Thilakarathna, Kenneth, et al.
Published: (2024)

Tracking Software Security Topics
by: Vu, Phong Minh, et al.
Published: (2024)

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings
by: Nguyen, Huu Hung, et al.
Published: (2025)

Enabling Cyber Security Education through Digital Twins and Generative AI
by: Barletta, Vita Santa, et al.
Published: (2025)

Designing a Secure and Resilient Distributed Smartphone Participant Data Collection System
by: Namjoo, Foad, et al.
Published: (2025)

A Deep Dive Into How Open-Source Project Maintainers Review and Resolve Bug Bounty Reports
by: Ayala, Jessy, et al.
Published: (2024)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025)

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024)

Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
by: Nguyen, Phong, et al.
Published: (2025)

Beyond Security-by-design: Securing a compromised system
by: Rashid, Awais, et al.
Published: (2025)

PrivacyAssist: A User-Centric Agent Framework for Detecting Privacy Inconsistencies in Android Apps
by: Nguyen, Tran Thanh Lam, et al.
Published: (2026)

FDI: Attack Neural Code Generation Systems through User Feedback Channel
by: Sun, Zhensu, et al.
Published: (2024)

The Code the World Depends On: A First Look at Technology Makers' Open Source Software Dependencies
by: Patrick, Cadence, et al.
Published: (2024)

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
by: Zhou, Xiaoyan, et al.
Published: (2024)

Before the Vicious Cycle Starts: Preventing Burnout Across SOC Roles Through Flow-Aligned Design
by: Thimmaraju, Kashyap, et al.
Published: (2026)

An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management
by: Tran, Nguyen Khoi, et al.
Published: (2023)

Accessibility Recommendations for Designing Better Mobile Application User Interfaces for Seniors
by: Wickramathilaka, Shavindra, et al.
Published: (2025)

Sandboxing Adoption in Open Source Ecosystems
by: Alhindi, Maysara, et al.
Published: (2024)

Finding Privacy-relevant Source Code
by: Tang, Feiyang, et al.
Published: (2024)

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)

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

Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software
by: Nguyen, Nhat-Minh
Published: (2026)

Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)

Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
by: Shen, Mingjie, et al.
Published: (2023)