ASE

Publications

2023

Lingxiao Tang, Lingfeng Bao, Xin Xia, Zhongdong Huang
Neural SZZ Algorithm. ASE (2023)
Tegawendé F. Bissyandé, Jacques Klein, Christian Bird, Federica Sarro
Message from the Chairs: ASE 2023. ASE (2023)
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems. ASE (2023)
Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu
Learning to Locate and Describe Vulnerabilities. ASE (2023)
Abdulkarim Malkadi, Ahmad Tayeb, Sonia Haiduc
Improving Code Extraction from Coding Screencasts Using a Code-Aware Encoder-Decoder Model. ASE (2023)
Atish Kumar Dipongkor, Kevin Moran
A Comparative Study of Transformer-Based Neural Text Representation Techniques on Bug Triaging. ASE (2023)
Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen
How Android Apps Break the Data Minimization Principle: An Empirical Study. ASE (2023)
Chenghang Shi, Haofeng Li, Yulei Sui, Jie Lu, Lian Li, Jingling Xue
Two Birds with One Stone: Multi-Derivation for Fast Context-Free Language Reachability Analysis. ASE (2023)
Tao Yue, Shaukat Ali
Evolve the Model Universe of a System Universe. ASE (2023)
Dirk Beyer, Martin Spiessl
LIV: Loop-Invariant Validation Using Straight-Line Programs. ASE (2023)
Sondess Missaoui, Simos Gerasimou, Nicholas Matragkas
Semantic Data Augmentation for Deep Learning Testing Using Generative AI. ASE (2023)
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja
Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution. ASE (2023)
Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. ASE (2023)
Zhao Tian, Junjie Chen, Xiangyu Zhang
On-the-fly Improving Performance of Deep Code Models via Input Denoising. ASE (2023)
Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab
Where to Go Now? Finding Alternatives for Declining Packages in the npm Ecosystem. ASE (2023)
Jingbo Lu, Dongjie He, Wei Li, Yaoqing Gao, Jingling Xue
Automatic Generation and Reuse of Precise Library Summaries for Object-Sensitive Pointer Analysis. ASE (2023)
Chaozheng Wang, Zongjie Li, Yun Pena, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE (2023)
Vikas Kumar Malviya, Yan Naing Tun, Chee Wei Leow, Ailys Tee Xynyn, Lwin Khin Shar, Lingxiao Jiang
Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding. ASE (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE (2023)
Mingxuan Zhu, Dan Hao
Compiler Auto-Tuning via Critical Flag Selection. ASE (2023)
Zuoyan Zhang, Bei Zhou, Jiangwei Hao, Hongru Yang, Mengqi Cui, Yuchang Zhou, Guanghui Song, Fei Li, Jinchen Xu, Jie Zhao
Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation. ASE (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE (2023)
Martin Kellogg, Daniel Daskiewicz, Loi Ngo Duc Nguyen, Muyeed Ahmed, Michael D. Ernst
Pluggable Type Inference for Free. ASE (2023)
Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
Towards Autonomous Testing Agents via Conversational Large Language Models. ASE (2023)
Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini
ESRO: Experience Assisted Service Reliability against Outages. ASE (2023)
Xiangyu Zhang, Lingling Fan, Sen Chen, Yucheng Su, Boyuan Li
Scene-Driven Exploration and GUI Modeling for Android Apps. ASE (2023)
Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. ASE (2023)
Toufique Ahmed, Premkumar T. Devanbu
Better Patching Using LLM Prompting, via Self-Consistency. ASE (2023)
Jianzhong Su, Xingwei Lin, Zhiyuan Fang, Zhirong Zhu, Jiachi Chen, Zibin Zheng, Wei Lv, Jiashui Wang
DeFiWarder: Protecting DeFi Apps from Token Leaking Vulnerabilities. ASE (2023)
Jifeng Xuan, Qi Xin, Liqian Chen, Xiaoguang Mao
Potential Solutions to Challenges in C Program Repair: A Practical Perspective. ASE (2023)
Chong Wang, Yiling Lou, Junwei Liu, Xin Peng
Generating Variable Explanations via Zero-shot Prompt Learning. ASE (2023)
Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? ASE (2023)
Yuyi Zhong, Ruiwei Wang, Siau-Cheng Khoo
Expediting Neural Network Verification via Network Reduction. ASE (2023)
Rajrupa Chattaraj, Sridhar Chimalakonda
RJoules: An Energy Measurement Tool for R. ASE (2023)
Qing Huang, Zhenyu Wan, Zhenchang Xing, Changjing Wang, Jieshan Chen, Xiwei Xu, Qinghua Lu
Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain. ASE (2023)
Thomas Hirsch, Birgit Hofer
The MAP Metric in Information Retrieval Fault Localization. ASE (2023)
Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao
Merge Conflict Resolution: Classification or Generation? ASE (2023)
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching. ASE (2023)
Yonghui Liu, Xiao Chen, Pei Liu, John Grundy, Chunyang Chen, Li Li
ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps. ASE (2023)
Haibin Zheng, Jinyin Chen, Haibo Jin
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space. ASE (2023)
Yi Li, Shaohua Wang, Tien N. Nguyen
Contextuality of Code Representation Learning. ASE (2023)
Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE (2023)
Sicheng Hao, Yuhong Nan, Zibin Zheng, Xiaohui Liu
SmartCoCo: Checking Comment-Code Inconsistency in Smart Contracts via Constraint Propagation and Binding. ASE (2023)
Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He
RPCover: Recovering gRPC Dependency in Multilingual Projects. ASE (2023)
Wensheng Tang, Chengpeng Wang, Peisen Yao, Rongxin Wu, Xianjin Fu, Gang Fan, Charles Zhang
DCLINK: Bridging Data Constraint Changes and Implementations in FinTech Systems. ASE (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
Causality-Aided Trade-Off Analysis for Machine Learning Fairness. ASE (2023)
Qilin Zhou, Zhengyuan Wei, Haipeng Wang, W. K. Chan
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. ASE (2023)
Yujiang Gui, Dongjie He, Jingling Xue
Merge-Replay: Efficient IFDS-Based Taint Analysis by Consolidating Equivalent Value Flows. ASE (2023)
Ruihua Ji, Tingwei Zhu, Xiaoqing Zhu, Chunyang Chen, Minxue Pan, Tian Zhang
Vision-Based Widget Mapping for Test Migration Across Mobile Platforms: Are We There Yet? ASE (2023)
Ran Mo, Yingjie Jiang, Wenjing Zhan, Dongyu Wang, Zengyang Li
A Comprehensive Study on Code Clones in Automated Driving Software. ASE (2023)