Shikai Guo

According to our database, Shikai Guo authored at least 42 papers between 2015 and 2024.

Collaborative distances:

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

2024

Code Comment Inconsistency Detection Based on Confidence Learning.

Zhengkang Xu, Shikai Guo, Yumiao Wang, Rong Chen, Hui Li, Xiaochen Li, He Jiang

IEEE Trans. Software Eng., March, 2024

What's Wrong With Low-Code Development Platforms? An Empirical Study of Low-Code Development Platform Bugs.

Dong Liu, He Jiang, Shikai Guo, Yuting Chen, Lei Qiao

IEEE Trans. Reliab., March, 2024

Context-based transfer learning for low resource code summarization.

Yi Guo, Yu Chai, Lehuan Zhang, Hui Li, Mengzhi Luo, Shikai Guo

Softw. Pract. Exp., March, 2024

Detect software vulnerabilities with weight biases via graph neural networks.

Huijiang Liu, Shuirou Jiang, Xuexin Qi, Yang Qu, Hui Li, Tingting Li, Cheng Guo, Shikai Guo

Expert Syst. Appl., March, 2024

Structuring Meaningful Code Review Automation in Developer Community.

Zhenzhen Cao, Sijia Lv, Xinlong Zhang, Hui Li, Qian Ma, Tingting Li, Cheng Guo, Shikai Guo

Eng. Appl. Artif. Intell., January, 2024

2023

An Easy Data Augmentation Approach for Application Reviews Event Inference.

Shikai Guo, Haorui Lin, Jiaoru Zhao, Hui Li, Rong Chen, Xiaochen Li, He Jiang

IEEE Trans. Software Eng., October, 2023

An data augmentation method for source code summarization.

Zixuan Song, Hui Zeng, Xiuwei Shang, Guanxi Li, Hui Li, Shikai Guo

Neurocomputing, September, 2023

Structuring meaningful bug-fixing patches to fix software defect.

Hui Li, Yong Liu, Xuexin Qi, Xi Yu, Shikai Guo

IET Softw., August, 2023

Multi-Feature Fusion Based Structural Deep Neural Network for Predicting Answer Time on Stack Overflow.

Shikai Guo, Siwen Wang, Hui Li, Yu-Long Fan, Yaqing Liu, Bin Zhang

J. Comput. Sci. Technol., June, 2023

DupHunter: Detecting Duplicate Pull Requests in Fork-Based Development.

He Jiang, Yulong Li, Shikai Guo, Xiaochen Li, Tao Zhang, Hui Li, Rong Chen

IEEE Trans. Software Eng., April, 2023

Optimization of Web Service Testing Task Assignment in Crowdtesting Environment.

Wen-Jun Tang, Rong Chen, Jiali Zhang, Lin Huang, Sheng-Jie Zheng, Shikai Guo

J. Comput. Sci. Technol., April, 2023

Constructing meaningful code changes via graph transformer.

Shikai Guo, Mengxuan Li, Xin Ge, Hui Li, Rong Chen, Tingting Li

IET Softw., April, 2023

Feature transfer learning by reinforcement learning for detecting software defect.

Shikai Guo, Jiahui Wang, Zhihao Xu, Lin Huang, Hui Li, Rong Chen

Softw. Pract. Exp., 2023

Code samples summarization for knowledge exchange in developer community.

Shikai Guo, Zhongyan Liu, Zixuan Song, Hui Li, Rong Chen

Softw. Pract. Exp., 2023

Partition Based Differential Testing for Finding Embedded Code Generation Bugs in Simulink.

He Jiang, Hongyi Cheng, Shikai Guo, Xiaochen Li

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Self-admitted technical debt detection by learning its comprehensive semantics via graph neural networks.

Hui Li, Yang Qu, Yong Liu, Rong Chen, Jun Ai, Shikai Guo

Softw. Pract. Exp., 2022

Detecting Simulink compiler bugs via controllable zombie blocks mutation.

Shikai Guo, He Jiang, Zhihao Xu, Xiaochen Li, Zhilei Ren, Zhide Zhou, Rong Chen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Do Not Have Enough Data? An Easy Data Augmentation for Code Summarization.

Zixuan Song, Xiuwei Shang, Mengxuan Li, Rong Chen, Hui Li, Shikai Guo

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Structuring Meaningful Code Changes in Developer Community.

Mengxuan Li, Shikai Guo, Xin Ge, Hui Li, Rong Chen

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Deep Just-In-Time Consistent Comment Update via Source Code Changes.

Shikai Guo, Xihui Xu, Hui Li, Rong Chen

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Generating High Quality Titles in StackOverflow via Data Denoising Method.

Shikai Guo, Bowen Ping, Zixuan Song, Hui Li, Rong Chen

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

2021

Toward more accurate developer recommendation via inference of development activities from interaction with bug repair process.

Siwen Wang, Linhui Wang, Yang Qu, Rong Chen, Shikai Guo

J. Softw. Evol. Process., 2021

Software defect prediction with imbalanced distribution by radius-synthetic minority over-sampling technique.

Shikai Guo, Jian Dong, Hui Li, Jiahui Wang

J. Softw. Evol. Process., 2021

2020

Developer Activity Motivated Bug Triaging: Via Convolutional Neural Network.

Shikai Guo, Xinyi Zhang, Xi Yang, Rong Chen, Chen Guo, Hui Li, Tingting Li

Neural Process. Lett., 2020

基于强化学习的Web服务众测任务分派方法 (Web Service Crowdtesting Task Assignment Approach Based onReinforcement Learning).

Wenjun Tang, Jiali Zhang, Rong Chen, Shikai Guo

计算机科学, 2020

Surprise Bug Report Prediction Utilizing Optimized Integration with Imbalanced Learning Strategy.

Hui Li, Yang Qu, Shikai Guo, Guofeng Gao, Rong Chen, Chen Guo

Complex., 2020

2019

Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution.

Rong Chen, Shikai Guo, Xi-Zhao Wang, Tianlun Zhang

IEEE Trans. Fuzzy Syst., 2019

Improved SMOTE Algorithm to Deal with Imbalanced Activity Classes in Smart Homes.

Shikai Guo, Yaqing Liu, Rong Chen, Xiao Sun, Xiangxin Wang

Neural Process. Lett., 2019

A Novel Approach to Publishing Tasks for Collaboratively Crowdsourcing Workflows.

Wenjun Tang, Rong Chen, Shikai Guo

Int. J. Softw. Eng. Knowl. Eng., 2019

The Influence Ranking for Testers in Bug Tracking Systems.

Hui Li, Guofeng Gao, Rong Chen, Xin Ge, Shikai Guo, Li-Ying Hao

Int. J. Softw. Eng. Knowl. Eng., 2019

Identify Severity Bug Report with Distribution Imbalance by CR-SMOTE and ELM.

Shikai Guo, Rong Chen, Hui Li, Tianlun Zhang, Yaqing Liu

Int. J. Softw. Eng. Knowl. Eng., 2019

Rich Feature Combination for Cost-Based Broad Learning System.

Tianlun Zhang, Rong Chen, Xi Yang, Shikai Guo

IEEE Access, 2019

2018

Crowdsourced Web Application Testing Under Real-Time Constraints.

Shikai Guo, Rong Chen, Hui Li, Jian Gao, Yaqing Liu

Int. J. Softw. Eng. Knowl. Eng., 2018

Ensemble Data Reduction Techniques and Multi-RSMOTE via Fuzzy Integral for Bug Report Classification.

Shikai Guo, Rong Chen, Miaomiao Wei, Hui Li, Yaqing Liu

IEEE Access, 2018

Capability Matching and Heuristic Search for Job Assignment in Crowdsourced Web Application Testing.

Shikai Guo, Rong Chen, Hui Li, Yaqing Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Weighted Data Set Reduction for Automatic Bug Triaging (P).

Miaomiao Wei, Shikai Guo, Rong Chen

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Enhancing Bug Report Assignment with an Optimized Reduction of Training Set.

Miaomiao Wei, Shikai Guo, Rong Chen, Jian Gao

Proceedings of the Knowledge Science, Engineering and Management, 2018

The Influence Ranking for Software Classes.

Hui Li, Guofeng Gao, Xin Ge, Shikai Guo, Li-Ying Hao

Proceedings of the 14th International Conference on Natural Computation, 2018

Identification of High Priority Bug Reports via Integration Method.

Guofeng Gao, Hui Li, Rong Chen, Xin Ge, Shikai Guo

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

Using Knowledge Transfer and Rough Set to Predict the Severity of Android Test Reports via Text Mining.

Shikai Guo, Rong Chen, Hui Li

Symmetry, 2017

2016

A Real-Time Collaborative Testing Approach for Web Application: Via Multi-tasks Matching.

Shikai Guo, Rong Chen, Hui Li

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015

投票理论研究现状及其展望 (State-of-the-art and Future of Voting Theory).

Nan Zhang, Rong Chen, Shikai Guo

计算机科学, 2015