Yingquan Zhao

Orcid: 0000-0003-2998-1052

According to our database1, Yingquan Zhao authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
sFuzz2.0: Storage-access pattern guided smart contract fuzzing.
J. Softw. Evol. Process., April, 2024

2023
Achieving High MAP-Coverage Through Pattern Constraint Reduction.
IEEE Trans. Software Eng., 2023

GC-MCR: Directed Graph Constraint-guided Concurrent Bug Detection Method.
Int. J. Softw. Informatics, 2023

SJFuzz: Seed and Mutator Scheduling for JVM Fuzzing.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

MLIRSmith: Random Program Generation for Fuzzing MLIR Compiler Infrastructure.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper).
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Vectorizing Program Ingredients for Better JVM Testing.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
History-Driven Test Program Synthesis for JVM Testing.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2020
Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods.
IEEE Trans. Reliab., 2020

2019
Multitask defect prediction.
J. Softw. Evol. Process., 2019

Software defect number prediction: Unsupervised vs supervised methods.
Inf. Softw. Technol., 2019

MAP-Coverage: A Novel Coverage Criterion for Testing Thread-Safe Classes.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Adaptive Randomized Scheduling for Concurrency Bug Detection.
Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019

2018
MULTI: Multi-objective effort-aware just-in-time software defect prediction.
Inf. Softw. Technol., 2018


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