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Yanru Ding
Observed name:
Ding, Yanru
Institution:
China University of Mining and Technology
Observed institution:
China University of Mining and Technology
ORCID:
0009-0002-3651-9712
Observed ORCID:
0009-0002-3651-9712
OpenAlex ID:
A5025205115
A class integration test order generation approach based on Sarsa algorithm
2023
·
Yun Li
, Yanmei Zhang
, et al.
·
Automated Software Engineering
·
6
PDF
Generating Optimal Class Integration Test Orders Using Genetic Algorithms
2022
·
Yanmei Zhang
, Shujuan Jiang
, et al.
·
International Journal of Software Engineering and Knowledge Engineering
·
5
Integration test order generation based on reinforcement learning considering class importance
2023
·
Yanru Ding
, Yanmei Zhang
, et al.
·
Journal of Systems and Software
·
4
Progress on class integration test order generation approaches: A systematic literature review
2022
·
Yanru Ding
, Yanmei Zhang
, et al.
·
Information and Software Technology
·
4
A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
2023
·
Yanru Ding
, Yanmei Zhang
, et al.
·
Lecture notes in computer science
·
2
Stability-Aware Reinforcement Learning for Robust Class Integration Test Order Generation
2026
·
Yanru Ding
, Yanmei Zhang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
1
PDF
Optimizing Class Integration Testing with Criticality-Driven Test Order Generation
2025
·
Yanru Ding
, Yanmei Zhang
, et al.
·
IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
·
1
CDDQNgen: An approach to generate class integration test order Based on Categorical Double DQN algorithm
2023
·
Yanmmei Zhang
, Jianli Li
, et al.
·
1
PDF
DyCITO+: Scalable Deep Reinforcement Learning for Generating Class Integration Test Orders of Java Programs
2026
·
Yanru Ding
, Yanmei Zhang
, et al.
·
IEEE Transactions on Software Engineering
Correction to: A class integration test order generation approach based on Sarsa algorithm
2024
·
Yun Li
, Yanmei Zhang
, et al.
·
Automated Software Engineering
PDF
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Works count:
11
Citation count:
24
H-index:
4
I10-index:
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