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

This program is tentative and subject to change.

Sun 16 Nov 2025 11:30 - 11:40 at Grand Hall 1 - Papers

Native libraries are widely used in Android applications for performance optimization; however, their integration also introduces significant security risks. While existing research has explored the adoption, management, and ecosystem evolution of third-party libraries (TPLs) in Android, studies focusing specifically on Android native libraries remain scarce. This gap has led to limited understanding and awareness of the potential threats associated with native libraries. A key challenge is that Android native libraries are distributed by diverse suppliers through various channels, resulting in the absence of a comprehensive registry indexing commonly used native libraries for further investigation. To address this issue, we developed DroidNative, the first comprehensive native library database for Android, by employing a greedy and aggressive strategy to identify repository sources and collect Android native libraries. DroidNative comprises over 60,000 libraries and 292,000 versions. Experimental results demonstrate its completeness—85.1% of binaries in real-world applications can be successfully traced in DroidNative, while 10.1% of the remainder are suspected to be non–third-party native libraries. Moreover, DroidNative has been shown to enhance existing software composition analysis (SCA) detection tools such as LibRARIAN, outperforming state-of-the-art (SOTA) solutions with at least a 78.4% improvement in recognition rate.

This program is tentative and subject to change.

Sun 16 Nov

Displayed time zone: Seoul change

10:30 - 12:30
10:30
15m
Full-paper
A Domain-Independent Framework for Effective Prioritization and Evaluation of UX Aspects in Mobile Apps
A-Mobile
Haifa Al-Shammare , Mohammad Alshayeb King Fahd University of Petroleum & Minerals, Malak Baslyman King Fahd University of Petroleum & Minerals
10:45
15m
Full-paper
A Data-driven Approach for Automated Quality Concern Extraction from App Reviews
A-Mobile
Khubaib Amjad Alam National University of Computer and Emerging Sciences, Maryam Hussain National University of Computer & emerging Sciences (FAST-NUCES), Umer Draz National University of Computer and Emerging Sciences,Islamabad, Muhammad Haroon National University of Computer & emerging Sciences (FAST-NUCES)
11:00
10m
Short-paper
Finding Keywords for Architectural Erosion Detection in GitHub Commits for Android Applications
A-Mobile
Juan Camilo Acosta-Rojas , Camilo Escobar-Velásquez Universidad de los Andes, Colombia
11:10
10m
Short-paper
Reliable and Interpretable Android Malware Detection at Scale
A-Mobile
Michael Tegegn University of British Columbia, Julia Rubin The University of British Columbia
11:20
10m
Short-paper
From Kotlin to Swift and Back: Toward Fully Automated Cross-Language Code Transpilation
A-Mobile
Sachi Lad , Carol Hanna University College London, Justyna Petke University College London
File Attached
11:30
10m
Short-paper
DroidNative: A Greedy-Constructed Large-Scale Indexing for Android Native Libraries
A-Mobile
Shiyang Zhang Tianjin University, Chengwei Liu Nanyang Technological University, Sen Chen Nankai University, Lyuye Zhang Nanyang Technological University, Yang Liu Nanyang Technological University
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