FRESA: A Frequency-Sensitive Sampling-Based Approach for Data Race Detection

Neng Huang, Zhiyuan Shao, Hai Jin

Open source

DOI: 10.1007/978-3-642-40820-5_5
Published: 2013
Container: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-642-40820-5_5,
  title = {FRESA: A Frequency-Sensitive Sampling-Based Approach for Data Race Detection},
  author = {Neng Huang and Zhiyuan Shao and Hai Jin},
  year = {2013},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-642-40820-5_5},
  url = {https://doi.org/10.1007/978-3-642-40820-5_5}
}

RIS

TY  - JOUR
TI  - FRESA: A Frequency-Sensitive Sampling-Based Approach for Data Race Detection
AU  - Neng Huang
AU  - Zhiyuan Shao
AU  - Hai Jin
PY  - 2013
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-642-40820-5_5
UR  - https://doi.org/10.1007/978-3-642-40820-5_5
ER  -

APA

Huang, N., Shao, Z., & Jin, H. (2013). FRESA: A Frequency-Sensitive Sampling-Based Approach for Data Race Detection. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-40820-5_5

Source records

crossref · retrieved 2026-11-07T02:01:04.600Z