ASE 2025
Sun 16 - Thu 20 November 2025 Seoul, South Korea

This program is tentative and subject to change.

Wed 19 Nov 2025 14:30 - 14:40 at Grand Hall 3 - Web & Mobile Systems 2

The development of Large Language Models (LLMs) enables LLM-based GUI testing to interact with graphical user interfaces by understanding GUI screenshots and generating actions, which are widely applied in industry and academia. However, current approaches test each app in isolation, lacking mechanisms for experience accumulation and reuse. This limitation often causes GUI testing approaches to miss deeper exploration and fail to trigger bug-prone functionalities. To address this, we propose MemoDroid, a three-layer memory mechanism that augments LLM-based GUI testing with the ability to evolve through repeated interaction. MemoDroid designs episodic memory to capture functional-level testing traces, reflective memory to summarize failure patterns and redundant behaviors, and strategic memory to synthesize cross-app exploration strategies. These memory layers are dynamically retrieved and injected into LLM prompts at runtime, enabling the agent to reuse successful behaviors, avoid ineffective actions, and prioritize bug-prone paths. We implement MemoDroid as a lightweight plugin, which can be integrated into existing LLM-based GUI testing approaches. We evaluate MemoDroid on real-world apps from 15 diverse categories. Results show that MemoDroid enhances GUI testing performance across five baseline methods, with activity and code coverage increasing by 79% - 96% and 81% - 97%, and bug detection improving by 57% - 198%. Ablation studies confirm the contributions of each memory layer. Furthermore, MemoDroid detects 49 new bugs in 200 real-world apps, with 35 confirmed fixes and 14 acknowledged by developers, showing its practical value in memory-driven GUI testing.

This program is tentative and subject to change.

Wed 19 Nov

Displayed time zone: Seoul change

14:00 - 15:30
14:00
10m
Talk
Adaptive and accessible user interfaces for seniors through model-driven engineering
Journal-First Track
Shavindra Wickramathilaka Monash University, John Grundy Monash University, Kashumi Madampe Monash University, Australia, Omar Haggag Monash University, Australia
Link to publication DOI
14:10
10m
Talk
AppBDS: LLM-Powered Description Synthesis for Sensitive Behaviors in Mobile Apps
Research Papers
Zichen Liu Arizona State University, Xusheng Xiao Arizona State University
14:20
10m
Talk
Large Language Models for Automated Web-Form-Test Generation: An Empirical Study
Journal-First Track
Tao Li Macau University of Science and Technology, Chenhui Cui Macau University of Science and Technology, Rubing Huang Macau University of Science and Technology (M.U.S.T.), Dave Towey University of Nottingham Ningbo China, Lei Ma The University of Tokyo & University of Alberta
14:30
10m
Talk
Beyond Static GUI Agent: Evolving LLM-based GUI Testing via Dynamic Memory
Research Papers
Mengzhuo Chen Institute of Software, Chinese Academy of Sciences, Zhe Liu Institute of Software, Chinese Academy of Sciences, Chunyang Chen TU Munich, Junjie Wang Institute of Software at Chinese Academy of Sciences, Yangguang Xue University of Chinese Academy of Sciences, Boyu Wu Institute of Software at Chinese Academy of Sciences, Yuekai Huang Institute of Software, Chinese Academy of Sciences, Libin Wu Institute of Software Chinese Academy of Sciences, Qing Wang Institute of Software at Chinese Academy of Sciences
14:40
10m
Talk
Who's to Blame? Rethinking the Brittleness of Automated Web GUI Testing from a Pragmatic Perspective
Research Papers
Haonan Zhang University of Waterloo, Kundi Yao University of Waterloo, Zishuo Ding The Hong Kong University of Science and Technology (Guangzhou), Lizhi Liao Memorial University of Newfoundland, Weiyi Shang University of Waterloo
14:50
10m
Talk
LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
Journal-First Track
Maram Assi Université du Québec à Montréal, Safwat Hassan University of Toronto, Ying Zou Queen's University, Kingston, Ontario
15:00
10m
Talk
MIMIC: Integrating Diverse Personality Traits for Better Game Testing Using Large Language Model
Research Papers
Yifei Chen McGill University, Sarra Habchi Cohere, Canada, Lili Wei McGill University
Pre-print
15:10
10m
Talk
Debun: Detecting Bundled JavaScript Libraries on Web using Property-Order Graphs
Research Papers
Seojin Kim North Carolina State University, Sungmin Park Korea University, Jihyeok Park Korea University
15:20
10m
Talk
GUIFuzz++: Unleashing Grey-box Fuzzing on Desktop Graphical User Interfacing Applications
Research Papers
Dillon Otto University of Utah, Tanner Rowlett University of Utah, Stefan Nagy University of Utah
Pre-print