Yanjie Zhao

Jacques Klein

Li Li

ACM Trans. Softw. Eng. Methodol., June, 2025

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead.

[BibT_eX]

[DOI]

CoRR, June, 2025

Toward Understanding Bugs in Vector Database Management Systems.

[BibT_eX]

[DOI]

CoRR, June, 2025

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification.

[BibT_eX]

[DOI]

Zehao Wu

CoRR, June, 2025

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

Directed Greybox Fuzzing via Large Language Model.

[BibT_eX]

[DOI]

Hanxiang Xu

CoRR, May, 2025

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, May, 2025

Understanding Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities.

[BibT_eX]

[DOI]

CoRR, April, 2025

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

[BibT_eX]

[DOI]

CoRR, March, 2025

The Next Frontier of LLM Applications: Open Ecosystems and Hardware Synergy.

[BibT_eX]

[DOI]

Xinyi Hou

CoRR, March, 2025

Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030.

[BibT_eX]

[DOI]

CoRR, February, 2025

SoK: Understanding Vulnerabilities in the Large Language Model Supply Chain.

[BibT_eX]

[DOI]

CoRR, February, 2025

DeclarUI: Bridging Design and Development with Automated Declarative UI Code Generation.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

LLMDroid: Enhancing Automated Mobile App GUI Testing Coverage with Large Language Model Guidance.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

Understanding Model Weaknesses: A Path to Strengthening DNN-Based Android Malware Detection.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

Walls Have Ears: Demystifying Notification Listener Usage in Android Apps.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

Born with a Silver Spoon: On the (In)Security of Native Granted App Privileges in Custom Android ROMs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2025

On the (In)Security of LLM App Stores.

[BibT_eX]

[DOI]

Xinyi Hou

Proceedings of the IEEE Symposium on Security and Privacy, 2025

AI Model Genome.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

LLM App Squatting and Cloning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Are iOS Apps Immune to Abusive Advertising Practices?

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

CODEMORPH: Mitigating Data Leakage in Large Language Model Assessment.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

ClauseBench: Enhancing Software License Analysis with Clause-Level Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Large Language Models for Software Engineering: A Systematic Literature Review.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., November, 2024

PyScribe-Learning to describe python code.

[BibT_eX]

[DOI]

Softw. Pract. Exp., March, 2024

Automatically Detecting Incompatible Android APIs.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., January, 2024

A Code Knowledge Graph-Enhanced System for LLM-Based Fuzz Driver Generation.

[BibT_eX]

[DOI]

CoRR, 2024

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Design and Development with Automated Declarative UI Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

VoiceWukong: Benchmarking Deepfake Voice Detection.

[BibT_eX]

[DOI]

Ziwei Yan

CoRR, 2024

Voices from the Frontier: A Comprehensive Analysis of the OpenAI Developer Forum.

[BibT_eX]

[DOI]

Xinyi Hou

CoRR, 2024

Automatically Analyzing Performance Issues in Android Apps: How Far Are We?

[BibT_eX]

[DOI]

CoRR, 2024

WaDec: Decompile WebAssembly Using Large Language Model.

[BibT_eX]

[DOI]

Xinyu She

CoRR, 2024

Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps.

[BibT_eX]

[DOI]

CoRR, 2024

Seeing is (Not) Believing: Practical Phishing Attacks Targeting Social Media Sharing Cards.

[BibT_eX]

[DOI]

CoRR, 2024

GPT Store Mining and Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models for Cyber Security: A Systematic Literature Review.

[BibT_eX]

[DOI]

CoRR, 2024

ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

A First Look at LLM-powered Smartphones.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

Towards Demystifying Android Adware: Dataset and Payload Location.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

WaDec: Decompiling WebAssembly Using Large Language Model.

[BibT_eX]

[DOI]

Xinyu She

Chakkrit Tantithamthavorn

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

GPTZoo: A Large-scale Dataset of GPTs for the Research Community.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Decoding Web3: In-depth Analysis of the Third-Party Package Supply Chain.

[BibT_eX]

[DOI]

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2023

APIMatchmaker: Matching the Right APIs for Supporting the Development of Android Apps.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.

[BibT_eX]

[DOI]

Zhan Qin

CoRR, 2023

Are Mobile Advertisements in Compliance with App's Age Group?

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Potential Risks Arising from the Absence of Signature Verification in Miniapp Plugins.

[BibT_eX]

[DOI]

Yue Zhang

Chakkrit Tantithamthavorn

Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023

On the Usage-scenario-based Data Minimization in Mini Programs.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023

CiD4HMOS: A Solution to HarmonyOS Compatibility Issues.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection.

[BibT_eX]

[DOI]

Li Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, 2023

2022

Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

A First Look at CI/CD Adoptions in Open-Source Android Apps.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Automatically detecting API-induced compatibility issues in Android apps: a comparative analysis (replicability study).

[BibT_eX]

[DOI]

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Code Implementation Recommendation for Android GUI Components.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Towards Automatically Repairing Compatibility Issues in Published Android Apps.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection.

[BibT_eX]

[DOI]

Jacques Klein

John C. Grundy

ACM Trans. Softw. Eng. Methodol., 2021

<i>Icon2Code</i>: Recommending code implementations for Android GUI components.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2021

ANCHOR: locating android framework-specific crashing faults.

[BibT_eX]

[DOI]