A Comparative Study of Android Performance Issues in Real-world Applications and Literature
Fuente:
arXiv
Saved in:
| Main Authors: | Liao, Dianshu, Pan, Shidong, Yang, Siyuan, Zhao, Yanjie, Xing, Zhenchang, Sun, Xiaoyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
by: Liao, Dianshu, et al.
Published: (2025)
by: Liao, Dianshu, 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)
by: Si, Meixue, et al.
Published: (2024)
A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
by: Pan, Shidong, et al.
Published: (2024)
by: Pan, Shidong, et al.
Published: (2024)
A^3-CodGen: A Repository-Level Code Generation Framework for Code Reuse with Local-Aware, Global-Aware, and Third-Party-Library-Aware
by: Liao, Dianshu, et al.
Published: (2023)
by: Liao, Dianshu, et al.
Published: (2023)
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)
by: Pan, Shidong, et al.
Published: (2025)
"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
by: Pan, Shidong, et al.
Published: (2024)
by: Pan, Shidong, 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)
by: Gong, Haochen, et al.
Published: (2025)
LLMAID: Identifying AI Capabilities in Android Apps with LLMs
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
by: Zhang, Tianyi, et al.
Published: (2025)
by: Zhang, Tianyi, et al.
Published: (2025)
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
by: Liu, Yue, et al.
Published: (2025)
by: Liu, Yue, 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)
by: Tao, Zhen, et al.
Published: (2025)
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)
Domain-constrained Synthesis of Inconsistent Key Aspects in Textual Vulnerability Descriptions
by: Han, Linyi, et al.
Published: (2025)
by: Han, Linyi, 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)
by: Han, Linyi, 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)
by: Pan, Shidong, et al.
Published: (2024)
A Comparative Study of Full Apps and Lite Apps for Android
by: Tang, Yutian, et al.
Published: (2025)
by: Tang, Yutian, et al.
Published: (2025)
Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps
by: Dong, Zikan, et al.
Published: (2024)
by: Dong, Zikan, et al.
Published: (2024)
AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
by: He, Junda, et al.
Published: (2025)
by: He, Junda, et al.
Published: (2025)
Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)
by: Zhou, Zixu, et al.
Published: (2025)
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
by: Zhang, Dawen, et al.
Published: (2023)
by: Zhang, Dawen, et al.
Published: (2023)
A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android
by: Zhu, Jingyun, et al.
Published: (2024)
by: Zhu, Jingyun, et al.
Published: (2024)
SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation
by: Zhao, Dehai, et al.
Published: (2025)
by: Zhao, Dehai, et al.
Published: (2025)
A Rule-Based Approach for UI Migration from Android to iOS
by: Gao, Yi, et al.
Published: (2024)
by: Gao, Yi, et al.
Published: (2024)
Automated Repair of Resource Leaks in Android Applications
by: Bhatt, Bhargav Nagaraja, et al.
Published: (2020)
by: Bhatt, Bhargav Nagaraja, et al.
Published: (2020)
PTMPicker: Facilitating Efficient Pretrained Model Selection for Application Developers
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
by: Ju, Bangyan, et al.
Published: (2024)
by: Ju, Bangyan, et al.
Published: (2024)
Bridging Design and Development with Automated Declarative UI Code Generation
by: Zhou, Ting, et al.
Published: (2024)
by: Zhou, Ting, et al.
Published: (2024)
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)
by: Chen, Junfeng, et al.
Published: (2024)
Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models
by: Zhang, Zejun, et al.
Published: (2024)
by: Zhang, Zejun, et al.
Published: (2024)
Challenges in Android Data Disclosure: An Empirical Study
by: Khedkar, Mugdha, et al.
Published: (2026)
by: Khedkar, Mugdha, et al.
Published: (2026)
Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
Automated Generation of High-Quality Bug Reports for Android Applications
by: Saha, Antu, et al.
Published: (2026)
by: Saha, Antu, et al.
Published: (2026)
Android Instrumentation Testing in Continuous Integration: Practices, Patterns, and Performance
by: Parsazadeh, Hamid, et al.
Published: (2026)
by: Parsazadeh, Hamid, et al.
Published: (2026)
A Benchmark for Localizing Code and Non-Code Issues in Software Projects
by: Zhang, Zejun, et al.
Published: (2025)
by: Zhang, Zejun, 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)
XTrace: A Non-Invasive Dynamic Tracing Framework for Android Applications in Production
by: Hu, Qi, et al.
Published: (2025)
by: Hu, Qi, et al.
Published: (2025)
From Feedback to Failure: Automated Android Performance Issue Reproduction
by: Li, Zhengquan, et al.
Published: (2025)
by: Li, Zhengquan, et al.
Published: (2025)
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
by: Xing, Zhenchang, et al.
Published: (2025)
by: Xing, Zhenchang, et al.
Published: (2025)
SeRe: A Security-Related Code Review Dataset Aligned with Real-World Review Activities
by: Zhao, Zixiao, et al.
Published: (2026)
by: Zhao, Zixiao, et al.
Published: (2026)
Similar Items
-
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
by: Liao, Dianshu, 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) -
A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
by: Pan, Shidong, et al.
Published: (2024) -
A^3-CodGen: A Repository-Level Code Generation Framework for Code Reuse with Local-Aware, Global-Aware, and Third-Party-Library-Aware
by: Liao, Dianshu, et al.
Published: (2023) -
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)