2 citations · 4 across the 13 of their papers we have counts for
14 papers
HapCiD: Detecting API-related Compatibility Issues in OpenHarmony Apps
Daihang Chen, Yonghui Liu, Mingyi Zhou +1
OpenHarmony, an emerging open-source mobile platform, is rapidly gaining attention in the mobile development community. Its fast-evolving Software Development Kit (SDK) introduces…
OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development
Li Li, Han Hu, Tianjian Zhang +27
We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates…
An Empirical Study for Android-to-OpenHarmony GUI Test Migration
Yakun Zhang, Xinjia Chen, Yiyun Chen +6
To reduce the substantial engineering effort required to test the corresponding applications from Android to OpenHarmony, migrating existing GUI test cases has become a critical pr…
AtomicCommitBench: Can Coding Agents Reconstruct Commit Histories from Squashed Patches?
Zhihao Lin, Mingyi Zhou, Li Li
Coding agents often finish a session by returning one squashed patch that mixes feature implementation, bug fixes, refactorings, tests, and configuration edits. While the final cod…
How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
Zhihao Lin, Mingyi Zhou, Yizhuo Yang +1
LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependenci…
RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue
Zhihao Lin, Mingyi Zhou, Zhensu Sun +4
Open-source libraries and tools are widely reused, but compatibility maintenance is expensive. Once maintainers leave, useful repositories can stop working as runtimes and dependen…
To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair
Zhihao Lin, Junhua Zhu, Mingyi Zhou +5
LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing tests to evaluate and refine patches. This execution-based app…
Source-Free Detection and Impact Analysis of Compiler Optimization Problems in Mobile Applications
Han Hu, Xiaoheng Xie, Bo Sun +3
Mobile apps frequently suffer from frame drops, overheating, and excessive power consumption. While developers optimize algorithms and debug code, a critical bottleneck often goes…
Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters
Zhensu Sun, Zhihao Lin, Zhi Chen +4
Current LLM systems are increasingly equipped with a code interpreter that executes generated code to obtain results. This works serially: the model first generates the complete co…
Context-Sensitive Pointer Analysis for ArkTS
Yizhuo Yang, Lingyun Xu, Mingyi Zhou +1
Current call graph generation methods for ArkTS, a new programming language for OpenHarmony, exhibit precision limitations when supporting advanced static analysis tasks such as da…
ArkAnalyzer: The Static Analysis Framework for OpenHarmony
Haonan Chen, Daihang Chen, Yizhuo Yang +5
ArkTS is a new programming language dedicated to developing apps for the emerging OpenHarmony mobile operating system. Like other programming languages constantly suffering from pe…
LLM for Mobile: An Initial Roadmap
Daihang Chen, Yonghui Liu, Mingyi Zhou +7
When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ec…
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models
Mingyi Zhou, Xiang Gao, Pei Liu +4
Recent studies show that deployed deep learning (DL) models such as those of Tensor Flow Lite (TFLite) can be easily extracted from real-world applications and devices by attackers…
Software Engineering for OpenHarmony: A Research Roadmap
Li Li, Xiang Gao, Hailong Sun +12
Mobile software engineering has been a hot research topic for decades. Our fellow researchers have proposed various approaches (with over 7,000 publications for Android alone) in t…