Cover Image

"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Shidong, Wang, Litian, Zhang, Tianyi, Xing, Zhenchang, Zhao, Yanjie, Lu, Qinghua, Sun, Xiaoyu
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
by: Liu, Yue, et al.
Published: (2025)

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
by: Si, Meixue, et al.
Published: (2024)

Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
by: Gong, Haochen, et al.
Published: (2025)

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
by: Tao, Zhen, et al.
Published: (2025)

Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference
by: Han, Linyi, et al.
Published: (2024)

A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)

A Comparative Study of Android Performance Issues in Real-world Applications and Literature
by: Liao, Dianshu, et al.
Published: (2024)

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
by: Pan, Shidong, et al.
Published: (2024)

Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
by: Zhang, Tianyi, et al.
Published: (2025)

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)

Are AI-assisted Development Tools Immune to Prompt Injection?
by: Huang, Charoes, et al.
Published: (2026)

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
by: Haque, Ariful, et al.
Published: (2025)

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
by: Liu, Yue, et al.
Published: (2025)

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns
by: Klemmer, Jan H., et al.
Published: (2024)

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025
by: Huang, Ruanqianqian, et al.
Published: (2025)

Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
by: Xia, Boming, et al.
Published: (2023)

How Agentic AI Coding Assistants Become the Attacker's Shell
by: Liu, Yue, et al.
Published: (2026)

Evaluating Tool Cloning in Agentic-AI Ecosystems
by: Kim, Taein, et al.
Published: (2026)

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

AI-Based Software Vulnerability Detection: A Systematic Literature Review
by: Shimmi, Samiha, et al.
Published: (2025)

A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
by: Pan, Shidong, et al.
Published: (2024)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
by: Xia, Boming, et al.
Published: (2024)

Enhancing Productivity with AI During the Development of an ISMS: Case Kempower
by: Niemeläinen, Atro, et al.
Published: (2024)

Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
by: Liao, Dianshu, et al.
Published: (2025)

Challenges in Developing Secure Software -- Results of an Interview Study in the German Software Industry
by: Mattukat, Alex R., et al.
Published: (2025)

Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
by: Zheng, Xinyi, et al.
Published: (2024)

Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
by: Lu, Qinghua, et al.
Published: (2023)

The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
by: Curtis, J. Alexander, et al.
Published: (2024)

Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction
by: Khan, Maaz, et al.
Published: (2025)

RiskHarvester: A Risk-based Tool to Prioritize Secret Removal Efforts in Software Artifacts
by: Basak, Setu Kumar, et al.
Published: (2025)

AssetHarvester: A Static Analysis Tool for Detecting Secret-Asset Pairs in Software Artifacts
by: Basak, Setu Kumar, et al.
Published: (2024)

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective
by: Wijesundara, Tharaka, et al.
Published: (2025)

Enterprise Identity Integration for AI-Assisted Developer Services: Architecture, Implementation, and Case Study
by: Chinthareddy, Manideep Reddy
Published: (2026)

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
by: Tang, Yuheng, et al.
Published: (2026)

Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
by: Safdar, Rijha, et al.
Published: (2025)

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
by: Navneet, Satyam Kumar, et al.
Published: (2025)

A Broad Comparative Evaluation of Software Debloating Tools
by: Brown, Michael D., et al.
Published: (2023)

LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
by: Tracy, Tyler, et al.
Published: (2026)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025)