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ORCID14th Internetware 2023: Hangzhou, China
- Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Xiaohu Yang, Xin Xia:
Proceedings of the 14th Asia-Pacific Symposium on Internetware, Internetware 2023, Hangzhou, China, August 4-6, 2023. ACM 2023 - Chaoxuan Shi
, Tingwei Zhu, Tian Zhang, Jun Pang, Minxue Pan:
Structural-semantics Guided Program Simplification for Understanding Neural Code Intelligence Models. 1-11 - Hao Ren, Mingliang Ma, Xiaowei Zhang, Yulu Cao, Changhai Nie:
Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics. 1 - Bingzhe Zhou, Xinying Wang, Shengbin Xu, Yuan Yao, Minxue Pan, Feng Xu, Xiaoxing Ma:
Hybrid API Migration: A Marriage of Small API Mapping Models and Large Language Models. 12-21 - Xiangbing Huang, Yingwei Ma, Haifang Zhou, Zhijie Jiang, Yuanliang Zhang, Teng Wang, Shanshan Li:
Towards Better Multilingual Code Search through Cross-Lingual Contrastive Learning. 22-32 - Keqi Li, Xingli Tang, Fenghang Li, Hui Zhou, Chunyang Ye, Wenyu Zhang:
PyBartRec: Python API Recommendation with Semantic Information. 33-43 - Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang:
SupConFL: Fault Localization with Supervised Contrastive Learning. 44-54 - Peixin Yang, Lin Zhu, Wenhua Hu, Jacky Wai Keung, Liping Lu, Jianwen Xiang:
The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study. 67-78 - Jiadong Wu, Yanlin Wang, Ruixin Wang, Jiachi Chen, Zibin Zheng:
Can Neural Networks Help Smart Contract Testing? An Empirical Study. 79-89 - Haolin Yang, Lin Chen, Yulu Cao, Yanhui Li, Yuming Zhou:
Towards Better Dependency Scope Settings in Maven Projects. 90-100 - Jisheng Wang, Lingfeng Bao, Chao Ni:
An Empirical Study of the Apache Voting Process on Open Source Community Governance. 101-111 - Liu Wang, Haoyu Wang, Huiyi Wang, Li Li, Yi Wang:
A Deep Dive into the Featured iOS Apps. 112-122 - Yichun Wang, Zhiyi Zhang, Yongming Yao, Zhiqiu Huang:
A Fine-Grained Evaluation of Mutation Operators for Deep Learning Systems: A Selective Mutation Approach. 123-133 - Xiaojuan Li, Yu Zhang, Zhengyan Zhu, Yuan Yao, Xingshe Zhou:
UbiCap: A Capability-based Run-time Model for Heterogeneous Sensors Management in Ubiquitous Operating System. 134-143 - Hongchuan He, Dezhi Chen, Zirui Zhuang, Qi Qi, Lejian Zhang, Tong Xu, Jingyu Wang:
Fine-Grained Flow Control Agent on Path MTU for IoT Software. 144-153 - Xiaoming Ruan, Yaoxiang Yu, Wenhao Ma, Bo Cai:
Prompt Learning for Developing Software Exploits. 154-164 - Peng Xu, Liangze Yin, Jiantong Ma, Dong Yang, Wei Dong:
FAEG: Feature-Driven Automatic Exploit Generation. 165-173 - Yuting Zhang, Jiahao Zhu, Yixin Yang, Ming Wen, Hai Jin:
Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection. 174-184 - Xuejun Zhang, Fenghe Zhang, Bo Zhao, Bo Zhou, Boyang Xiao:
VulD-Transformer: Source Code Vulnerability Detection via Transformer. 185-193 - Shihao Weng, Yang Feng, Yining Yin, Jia Liu:
Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems. 194-204 - Yining Yin, Yang Feng, Zixi Liu, Zhihong Zhao:
Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy. 205-215 - Song Tang, Shuang Liu, Junjie Wang, Xiangwei Zhang:
An Empirical Study on AST-level mutation-based fuzzing techniques for JavaScript Engines. 216-226 - Lei Liu, Sinan Wang, Yepang Liu, Jinliang Deng, Sicen Liu:
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning. 227-237 - Yunfei Zhao, Yihong Dong, Ge Li:
Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. 238-248 - Yue Pan, Chen Lyu:
Measuring Efficient Code Generation with GEC. 249-258 - Yafeng Gu, Yiheng Shen, Xiang Chen, Shaoyu Yang, Yiling Huang, Zhixiang Cao:
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation. 259-269 - Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin:
MCodeSearcher: Multi-View Contrastive Learning for Code Search. 270-280 - Jiaxing Wang, Chengliang Lu, Bin Cao, Jing Fan:
MiTFM: A multi-view information fusion method based on transformer for Next Activity Prediction of Business Processes. 281-291 - Hui Dou, Xing Wei, Kang Wang, Yiwen Zhang, Pengfei Chen, Yuee Huang:
EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing. 292-301 - Yuqi Zhang, Lingzhi Ouyang, Yu Huang, Xiaoxing Ma:
Conflict-free Replicated Priority Queue: Design, Verification and Evaluation. 302-312 - Hao Xu, Yongwang Zhao:
Isabelle/Cloud: Delivering Isabelle/HOL as a Cloud IDE for Theorem Proving. 313-322
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