Yan Naing Tun

According to our database, Yan Naing Tun authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VLM-Fuzz: Vision language model assisted recursive depth-first search exploration for effective GUI testing of android apps.

Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, Mariano Ceccato

Empir. Softw. Eng., May, 2026

Beyond the Tip of the Iceberg: Understanding SATD in Dockerfiles through the Lens of Co-evolution.

Wei Minn, Yan Naing Tun, Biniam Fesseha Demissie, Rui'ang Hu, Jiakun Liu, Mariano Ceccato, Lwin Khin Shar, David Lo

CoRR, May, 2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs.

Ting Zhang, Yikun Li, Chengran Yang, Ratnadira Widyasari, Yue Liu, Ngoc Tan Bui, Thanh Phuc Nguyen, Yan Naing Tun, Ivana Clairine Irsan, Huu Hung Nguyen, Huihui Huang, Jinfeng Jiang, Lwin Khin Shar, Eng Lieh Ouh, David Lo, Hong Jin Kang, Yide Yin, Wen Bin Leow

CoRR, April, 2026

CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation.

Wei Minn, Biniam Fisseha Demissie, Yan Naing Tun, Jiakun Liu, Mariano Ceccato, Lwin Khin Shar, David Lo

CoRR, January, 2026

Studying SATD in drone systems with Human-AI collaboration.

Leevi Rantala, Lwin Khin Shar, Mika V. Mäntylä, Wei Minn, Yan Naing Tun

J. Syst. Softw., 2026

2025

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones.

Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo

CoRR, July, 2025

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps.

Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, Mariano Ceccato

CoRR, April, 2025

Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification.

Zicheng Zhang, Jiakun Liu, Ferdian Thung, Haoyu Ma, Rui Li, Yan Naing Tun, Wei Minn, Lwin Khin Shar, Shahar Maoz, Eran Toch, David Lo, Joshua Wong, Debin Gao

CoRR, January, 2025

DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification.

Zicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo, Debin Gao

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

Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia.

Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.

Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, 2024

JavaVFC: Java Vulnerability Fixing Commits from Open-source Software.

Tan Bui, Yan Naing Tun, Yiran Cheng, Ivana Clairine Irsan, Ting Zhang, Hong Jin Kang

CoRR, 2024

DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones.

Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Experimental comparison of features, analyses, and classifiers for Android malware detection.

Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert

Empir. Softw. Eng., November, 2023

AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization.

Lwin Khin Shar, Arda Goknil, Erik Johannes Husom, Sagar Sen, Yan Naing Tun, Kisub Kim

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

Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding.

Vikas Kumar Malviya, Yan Naing Tun, Chee Wei Leow, Ailys Tee Xynyn, Lwin Khin Shar, Lingxiao Jiang

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

An Industrial Practice for Securing Android Apps in the Banking Domain.

Vikas Kumar Malviya, Phong Phan, Yan Naing Tun, Albert Ching, Lwin Khin Shar

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

2022

Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps.

Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang

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