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ORCID11th Internetware 2019: Fukuoka, Japan
- Internetware '19: The 11th Asia-Pacific Symposium on Internetware, Fukuoka, Japan, October 28-29, 2019. ACM 2019, ISBN 978-1-4503-7701-0
- Deyu Tian, Yun Ma:
Understanding Quality of Experiences on Different Mobile Browsers. 1:1-1:10 - Ruihua Ji, Junyu Pei, Wenhua Yang, Juan Zhai
, Minxue Pan, Tian Zhang:
Extracting Mapping Relations for Mobile User Interface Transformation. 2:1-2:10 - Shuhui Zhang, Huaqian Cai, Ying Zhang:
TransDroid: Automatic Client-based Service Evolving in Android Apps. 3:1-3:8 - Zhaolin Wu, Yang Yang, Zheng Li, Ruilian Zhao:
A Time Window based Reinforcement Learning Reward for Test Case Prioritization in Continuous Integration. 4:1-4:6 - Zhengchuan Liang, Yi Qin:
Generating Environmental Models for Testing Self-adaptive Systems. 5:1-5:6 - Yisen Xu, Xiangyang Jia, Jifeng Xuan:
Writing Tests for This Higher-Order Function First: Automatically Identifying Future Callings to Assist Testers. 6:1-6:10 - Yiwen Wu, Yang Zhang, Tao Wang, Huaimin Wang:
Exploring the Relationship Between Developer Activities and Profile Images on GitHub. 7:1-7:10 - Qingye Wang, Bowen Xu, Xin Xia, Ting Wang, Shanping Li:
Duplicate Pull Request Detection: When Time Matters. 8:1-8:10 - Yingkui Cao, Yanzhen Zou, Bing Xie:
Extracting Code-relevant Description Sentences Based on Structural Similarity. 9:1-9:10 - Jiawei Cao, Xingya Wang, Zixin Li, Qiqi Gu, Zhenyu Chen:
The Evolution of Open-Source Blockchain Systems: An Empirical Study. 10:1-10:10 - Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma:
Fast Robustness Prediction for Deep Neural Network. 11:1-11:10 - Bohong Liu, Tao Wang, Xunhui Zhang, Qiang Fan, Gang Yin, Jinsheng Deng:
A Neural-Network based Code Summarization Approach by Using Source Code and its Call Dependencies. 12:1-12:10 - Zhiyu Sun, Fang Peng, Junrui Guan, Yanchun Sun:
An approach to helping developers learn open source projects based on machine learning. 13:1-13:10 - Rongxun Guo, Tianxiao Gu, Yuan Yao, Feng Xu, Xiaoxing Ma:
Speedup Automatic Program Repair Using Dynamic Software Updating: An Empirical Study. 14:1-14:10 - Yaoguo Xi, Liwei Shen, Yukun Gui, Wenyun Zhao:
Migrating Deprecated API to Documented Replacement: Patterns and Tool. 15:1-15:10 - Jing Zhu, Guoping Rong, Guocheng Huang, Shenghui Gu, He Zhang, Dong Shao:
JLLAR: A Logging Recommendation Plug-in Tool for Java. 16:1-16:6 - Guoteng Pan, Mengjun Li, Guodong Ou:
Modeling and Reasoning Event-B Models Based on Mathematica. 17:1-17:9 - Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong Li, Zhenyu Chen:
From Data Quality to Model Quality: An Exploratory Study on Deep Learning. 18:1-18:6 - Xueliang Guo, Chongyang Shi, He Jiang:
Deep semantic-Based Feature Envy Identification. 19:1-19:6 - Cheng Lei, Benlin Hu, Dong Wang, Shu Zhang, Zhenyu Chen:
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification. 20:1-20:6
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