Haibo Chen

According to our database, Haibo Chen authored at least 25 papers between 2020 and 2023.

Collaborative distances:

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

2023

A novel combinatorial testing approach with fuzzing strategy.

Jinfu Chen, Jingyi Chen, Saihua Cai, Haibo Chen, Chi Zhang

J. Softw. Evol. Process., December, 2023

BiTCN_DRSN: An effective software vulnerability detection model based on an improved temporal convolutional network.

Jinfu Chen, Wei Lin, Saihua Cai, Yemin Yin, Haibo Chen, Dave Towey

J. Syst. Softw., October, 2023

Minimal Rare Pattern-Based Outlier Detection Approach For Uncertain Data Streams Under Monotonic Constraints.

Saihua Cai, Jinfu Chen, Haibo Chen, Chi Zhang, Qian Li, Dengzhou Shi, Wei Lin

Comput. J., January, 2023

Toward Cost-effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach.

Rubing Huang, Chenhui Cui, Junlong Lian, Dave Towey, Weifeng Sun, Haibo Chen

CoRR, 2023

EcoDialTest: Adaptive Mutation Schedule for Automated Dialogue Systems Testing.

Xiangchen Shen, Haibo Chen, Jinfu Chen, Jiawei Zhang, Shuhui Wang

Proceedings of the IEEE International Conference on Software Analysis, 2023

Extended Abstract of Candidate Test Set Reduction for Adaptive Random Testing: An Overheads Reduction Technique.

Rubing Huang, Haibo Chen, Weifeng Sun, Dave Towey

Proceedings of the IEEE International Conference on Software Analysis, 2023

2022

A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique.

Jinfu Chen, Haibo Chen, Yuchi Guo, Minmin Zhou, Rubing Huang, Chengying Mao

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A nearest-neighbor divide-and-conquer approach for adaptive random testing.

Rubing Huang, Weifeng Sun, Haibo Chen, Chenhui Cui, Ning Yang

Sci. Comput. Program., 2022

Candidate test set reduction for adaptive random testing: An overheads reduction technique.

Rubing Huang, Haibo Chen, Weifeng Sun, Dave Towey

Sci. Comput. Program., 2022

A software defect prediction method with metric compensation based on feature selection and transfer learning.

Jinfu Chen, Xiaoli Wang, Saihua Cai, Jiaping Xu, Jingyi Chen, Haibo Chen

Frontiers Inf. Technol. Electron. Eng., 2022

A Novel Coverage-Guided Greybox Fuzzing Method based on Grammar-Aware with Particle Swarm Optimization.

Shengran Wang, Jinfu Chen, Saihua Cai, Chi Zhang, Haibo Chen

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs.

Haibo Chen, Jinfu Chen

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

A Novel Coverage-guided Greybox Fuzzing based on Power Schedule Optimization with Time Complexity.

Jinfu Chen, Shengran Wang, Saihua Cai, Chi Zhang, Haibo Chen, Jingyi Chen, Jianming Zhang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Adaptive Random Testing based on the Modified Metric-memory Tree and Information Entropy.

Jinfu Chen, Haibo Chen, Yiming Wu, Chengying Mao, Saihua Cai

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

A Survey on Adaptive Random Testing.

Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia

IEEE Trans. Software Eng., 2021

An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints.

Saihua Cai, Jinfu Chen, Haibo Chen, Chi Zhang, Qian Li, Rexford Nii Ayitey Sosu, Shang Yin

Inf. Sci., 2021

Covering Array Constructors: An Experimental Analysis of Their Interaction Coverage and Fault Detection.

Rubing Huang, Haibo Chen, Yunan Zhou, Tsong Yueh Chen, Dave Towey, Man Fai Lau, Sebastian Ng, Robert G. Merkel, Jinfu Chen

Comput. J., 2021

Which type of exclusion region is better for restricted random testing?: an empirical study.

Weifeng Sun, Rubing Huang, Chenhui Cui, Haibo Chen, Weijie Liu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

An Adaptive Random Test Method based on Variable Probability Density Function with Particle Swarm Optimization.

Shengran Wang, Jinfu Chen, Jiaxiang Xi, Haibo Chen, Jingyi Chen

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

An Efficient Network Traffic Classification Method based on Combined Feature Dimensionality Reduction.

Ye Geng, Saihua Cai, Songling Qin, Haibo Chen, Shang Yin

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree.

Jinfu Chen, Yiming Wu, Chengying Mao, Tsong Yueh Chen, Haibo Chen

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

KS-TCP: An Efficient Test Case Prioritization Approach based on K-medoids and Similarity.

Jinfu Chen, Yuechao Gu, Saihua Cai, Haibo Chen, Jingyi Chen

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

A Test Case Generation Method of Combinatorial Testing based on τ-way Testing with Adaptive Random Testing.

Jinfu Chen, Jingyi Chen, Saihua Cai, Haibo Chen, Chi Zhang, Chuangfei Huang

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020

An Automatic Vulnerability Classification System for IoT Softwares.

Haibo Chen, Dalin Zhang, Jinfu Chen, Wei Lin, Dengzhou Shi, Zian Zhao

Proceedings of the 19th IEEE International Conference on Trust, 2020

An Automatic Vulnerability Scanner for Web Applications.

Haibo Chen, Junzuo Chen, Jinfu Chen, Shang Yin, Yiming Wu, Jiaping Xu

Proceedings of the 19th IEEE International Conference on Trust, 2020