Kun Qiu

According to our database, Kun Qiu authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

MT-Boost: A metamorphic-testing based training method for enhancing the robustness of deep neural network classifiers.

Kun Qiu, Yu Zhou, Pak-Lok Poon, Tsong Yueh Chen

Inf. Softw. Technol., 2026

2025

Evaluating the effectiveness of neuron coverage metrics: a metamorphic-testing approach.

Zenghui Zhou, Pak-Lok Poon, Tsong Yueh Chen, Kun Qiu, Qinghua Zhao, Zheng Zheng

Softw. Qual. J., June, 2025

2024

Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models.

Xiaohui Wan, Zheng Zheng, Fangyun Qin, Xuhui Lu, Kun Qiu

IEEE Trans. Reliab., December, 2024

Improving the validation of multiple-object detection using a complex-network-community-based relevance metric.

Kun Qiu, Pak-Lok Poon, Shijun Zhao, Dave Towey, Lanlin Yu

Knowl. Based Syst., 2024

Using Metamorphic Relations to Improve Accuracy and Robustness of Deep Neural Networks.

Kun Qiu, Yu Zhou, Pak-Lok Poon

Proceedings of the 9th ACM International Workshop on Metamorphic Testing, 2024

2022

Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition.

Kun Qiu, Zheng Zheng, Tsong Yueh Chen, Pak-Lok Poon

IEEE Trans. Software Eng., 2022

2021

Availability Analysis of Systems Deploying Sequences of Environmental-Diversity-Based Recovery Methods.

Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Ivan Mura

IEEE Trans. Reliab., 2021

Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks.

Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu, Zheng Zheng, Jinyi Zhou

CoRR, 2021

Follow-up Test Cases are Better Than Source Test Cases in Metamorphic Testing: A Preliminary Study.

Zenghui Zhou, Zheng Zheng, Tsong Yueh Chen, Jinyi Zhou, Kun Qiu

Proceedings of the 6th IEEE/ACM International Workshop on Metamorphic Testing, 2021

2020

Stress Testing With Influencing Factors to Accelerate Data Race Software Failures.

Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Beibei Yin

IEEE Trans. Reliab., 2020

Markov Regenerative Models of WebServers for Their User-Perceived Availability and Bottlenecks.

Zheng Zheng, Kishor S. Trivedi, Nan Wang, Kun Qiu

IEEE Trans. Dependable Secur. Comput., 2020

Using Metamorphic Testing to Evaluate DNN Coverage Criteria.

Jinyi Zhou, Kun Qiu, Zheng Zheng, Tsong Yueh Chen, Pak-Lok Poon

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

2019

Testing Graph Searching Based Path Planning Algorithms by Metamorphic Testing.

Jiantao Zhang, Zheng Zheng, Beibei Yin, Kun Qiu, Yang Liu

Proceedings of the 24th IEEE Pacific Rim International Symposium on Dependable Computing, 2019

2017

Semi-Markov Models of Composite Web Services for their Performance, Reliability and Bottlenecks.

Zheng Zheng, Kishor S. Trivedi, Kun Qiu, Ruofan Xia

IEEE Trans. Serv. Comput., 2017

Understanding the Impacts of Influencing Factors on Time to a DataRace Software Failure.

Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Bei-Bei Yin

Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering, 2017

Testing Proportional-Integral-Derivative (PID) Controller with Metamorphic Testing.

Kun Qiu, Zheng Zheng, Tsong Yueh Chen

Proceedings of the 2017 IEEE International Symposium on Software Reliability Engineering Workshops, 2017