ASE 2026
Mon 12 - Fri 16 October 2026 Munich, Germany

Wed 14 Oct

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:30
Maintenance and Evolution: Refactoring and Reengineering 2Research Papers / Tools and Datasets / Journal First at Forum 7
10:30
15m
Talk
Structure-Guided Semantic Deobfuscation of Android Identifiers
Research Papers
Mingyang Chen Shandong University, Zhentao Xie Shandong University, Yaqi Gao Shandong University, Shuang Li Shandong University, Wenrui Diao Shandong University
10:45
15m
Talk
Latent Reuse in Agent Skills: Multi-modal Clone Detection at Ecosystem Scale
Research Papers
Jiaying Zhu Nanyang Technological University, Lyuye Zhang Nanyang Technological University, Wenbo Guo Nanyang Technological University, Yang Liu Nanyang Technological University
11:00
15m
Talk
On the Effects of Customized Configurations of Static Code Analysis Tools: A Prospective Cohort Study of SonarQube Cloud
Research Papers
Sabato Nocera University of Salerno, Sira Vegas Universidad Politecnica de Madrid, Giuseppe Scanniello University of Salerno
11:15
15m
Talk
A Unified Model for Cross-Domain Clone Detection via Model Merging
Research Papers
Palash Ranjan Roy University of Saskatchewan, Banani Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan, Chanchal K. Roy University of Saskatchewan
Pre-print
11:30
15m
Talk
LLM-Based Agents for Identifying Bug-Introducing Commits
Research Papers
Niklas Risse Max-Planck-Institute for Security and Privacy, Marcel Böhme CISPA Helmholtz Center for Information Security
11:45
10m
Talk
A Smart Assistant for Debugging
Tools and Datasets
Steven P. Reiss Brown University, Mohamed Salem University of Pécs
DOI
11:55
10m
Talk
LintCFG: DSL-Driven Linter Configuration Generation for Coding Standards
Tools and Datasets
Yi Tang Nanjing University, zejun zhang Nanjing University, Zhenchang Xing CSIRO's Data61, Minxue Pan Nanjing University, Tian Zhang Nanjing University, Xuandong Li Nanjing University
DOI
12:05
10m
Talk
SmellCC: A Tool for Automated Code Smells Remediation
Tools and Datasets
Xiaoting Zhang Zhejiang University, Yujie Zhang Zhejiang University, Zhipeng Gao Shanghai Institute for Advanced Study - Zhejiang University, Xing Hu Zhejiang University, Xin Xia Zhejiang University
DOI
12:15
15m
Talk
Smelly-shot is All You Need: An Empirical Study to Compare In-Context Learning versus Fine-Tuning for Code Smell Detection
Journal First
Nawaf Alomari King Fahd University of Petroleum and Minerals, Moussa Redah King Fahd University of Petroleum and Minerals, Ahmad Ashraf King Fahd University of Petroleum and Minerals, Mohammad Alshayeb King Fahd University of Petroleum & Minerals
DOI