Chunyang Chen
Professor
Applies AI to software engineering, including large language models for code and automated analysis and generation of mobile app GUIs.
Chunyang Chen's lab at TUM works on large language models and compilers & programming languages. 67 papers since 2023, 28 at top venues, mostly ICSE and NeurIPS. 11 PhD students. 7 alumni.
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 42%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 7
Papers by yearfrom the lab homepage, 2023–2026
- 22 papers2026 · T1 6 · collecting
- 10 papers2025 · T1 2
- 13 papers2024 · T1 7
- 22 papers2023 · T1 13
T1 venuesOtherVenues: ICSE, NeurIPS, UIST, WWW, CHI
Research focuspaper titles that use each topic's words
- Large language models29 papers
- automated14 papers
- code6 papers
- Compilers & programming languages2 papers
- software engineering2 papers
Paper list
From the lab homepage.
202622 papers
- IEEE/ACM International Conference on Automated Software EngineeringA Longitudinal Study of Android Apps Signing Key Protection
- ICSE (T1)A Semantic-based Optimization Approach for Repairing LLMs: Case Study on Code Generation
- IEEE Transactions on Software EngineeringA Survey for LLM Agent Trajectory Analysis: From Failure Attribution to Enhancement
- IEEE/ACM International Conference on Automated Software EngineeringA11YRepair: Bridging Web Accessibility Barriers via Knowledge-Enhanced Divide-and-Conquer Repair
- ACM International Conference on the Foundations of Software Engineering, Industry TrackAdoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
- Findings of the Association for Computational LinguisticsBeyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment
- ICSE (T1)Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
- IEEE/ACM International Conference on Automated Software Engineering, Industry ShowcaseBridging Stakeholder and Product Requirements: An Empirical Study of Requirement Engineering in the Automotive Industry
- ICSE (T1)BugHunter: An Automated Tool for Bug-Aware GUI Testing via Retrieval Augmentation
- ACM International Conference on the Foundations of Software EngineeringFrom Suspicious Signals to Crashes: Guiding Bug-driven GUI Testing via Code-inspired Tracing
- Springer Empirical Software EngineeringGuidelines for Empirical Studies in Software Engineering involving Large Language Models
- ACM Transactions on Software Engineering and MethodologyNeuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation
202510 papers
- ACL (T1)A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
- SEIPAgent for User: Testing Multi-User Interactive Features in TikTok
- ACM Transactions on Software Engineering and MethodologyAn Empirical Study on Challenges for LLM Developers
- ACM International Conference on the Foundations of Software EngineeringAutomated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead
- ACM International Conference on the Foundations of Software EngineeringFrom Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
- IEEE Transactions on Software Engineering / ICSE Journal FirstSeeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps
- ACM/IEEE International Conference on Automated Software EngineeringSeeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair
- ACM International Conference on the Foundations of Software EngineeringStanding on the Shoulders of Giants: Bug-Aware Automated GUI Testing via Retrieval Augmentation
- USENIX Security (T1)THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
- ACM Computing SurveysVision-Based Mobile App GUI Testing: A Survey
202413 papers
- ACM Transactions on Software Engineering and MethodologyA First Look at On-device Models in iOS Apps
- ACM Transactions on Software Engineering and MethodologyAutomated Mapping of Adaptive App GUIs from Phones to TVs
- ACM Transactions on Software Engineering and MethodologyBeyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
- ICSE (T1)CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
- ACM SIGSOFT International Symposium on Software Testing and AnalysisFeedback-Driven Automated Whole Bug Report Reproduction for Android Apps
- UIST (T1)GPTVoiceTasker: LLM-Powered Virtual Assistant for Smartphone
- ICSE (T1)Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions
- The ACM SIGSOFT International Symposium on Software Testing and AnalysisModel-less is The Best Model: Generating Pure Code Implementations to Replace On-device DL Models
- CHI (T1)MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
- ICSE (T1)Prompting Is All Your Need: Automated Android Bug Replay with Large Language Models
- IEEE Transactions on Software EngineeringSoftware Testing with Large Language Model: Survey, Landscape, and Vision
- ICSE (T1)Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model
202322 papers
- ACM Transactions on Software Engineering and MethodologyA First Look at Dark Mode in Real-World Android Apps
- WWW (T1)Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
- ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software EngineeringAutomated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps
- IEEE Transactions on Software EngineeringAutomated Question Title Reformulation by Mining Modification Logs From Stack Overflow
- ICSE (T1)Context-aware Bug Reproduction for Mobile Apps
- IEEE International Conference on Software Analysis, Evolution and ReengineeringD-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation
- USENIX Security (T1)Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities
- ICSE (T1)Efficiency Matters: Speeding Up Automated Testing with GUI Rendering Inference
- ICSE (T1)Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network
- ICSE (T1)Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing
- WWW (T1)FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures
- NeurIPS (T1)GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
Where alumni went7 listed, 60% to industry
Industry 3Academia 2
Also to
- Adelaide University.
- CUHK
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Computer Science Doctorate (CIT)
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