Dong Wang

Orcid: 0009-0008-1874-6608

Affiliations:
  • Chinese Academy of Sciences, Institute of Software, Beijing, China


According to our database1, Dong Wang authored at least 12 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Links

Online presence:

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Bibliography

2024
Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction.
Proc. VLDB Endow., April, 2024

FaultFuzz: A Coverage Guided Fault Injection Tool for Distributed Systems.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Understanding Transaction Bugs in Database Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Coverage Guided Fault Injection for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Detecting Isolation Bugs via Transaction Oracle Construction.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Model Checking Guided Testing for Distributed Systems.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022
Finding bugs in Gremlin-based graph database systems via Randomized differential testing.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Common Data Guided Crash Injection for Cloud Systems.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

DisTA: Generic Dynamic Taint Tracking for Java-Based Distributed Systems.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2020
CoFI: Consistency-Guided Fault Injection for Cloud Systems.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Detecting cache-related bugs in Spark applications.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2018
An empirical study on crash recovery bugs in large-scale distributed systems.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018


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