Binary-level data dependence analysis of hot execution regions using abstract interpretation at runtime

Rasha Omar, Mostafa Abbas, Ahmed El-Mahdy, Erven Rohou

Open source

DOI: 10.1371/journal.pone.0230904
Published: 2020-04-09
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0230904,
  title = {Binary-level data dependence analysis of hot execution regions using abstract interpretation at runtime},
  author = {Rasha Omar and Mostafa Abbas and Ahmed El-Mahdy and Erven Rohou},
  year = {2020},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0230904},
  url = {https://doi.org/10.1371/journal.pone.0230904}
}

RIS

TY  - JOUR
TI  - Binary-level data dependence analysis of hot execution regions using abstract interpretation at runtime
AU  - Rasha Omar
AU  - Mostafa Abbas
AU  - Ahmed El-Mahdy
AU  - Erven Rohou
PY  - 2020
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0230904
UR  - https://doi.org/10.1371/journal.pone.0230904
ER  -

APA

Omar, R., Abbas, M., El-Mahdy, A., & Rohou, E. (2020). Binary-level data dependence analysis of hot execution regions using abstract interpretation at runtime. PLOS ONE. https://doi.org/10.1371/journal.pone.0230904

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crossref · retrieved 2026-11-10T09:46:11.312Z