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Behnaz Hassanshahi
conf.researchr.org general profile
ECOOP 2022 profile
ECOOP 2025 profile
ECOOP and ISSTA 2018 profile
ECOOP and ISSTA 2021 profile
ICFP 2020 profile
ICSE 2020 profile
ICSE 2025 profile
ICSME 2025 profile
ICST 2025 profile
ISSTA 2022 profile
PLDI, ECOOP, Curry On, DEBS, LCTES and ISMM profile
Registered user since Fri 16 Jun 2017
Name:
Behnaz Hassanshahi
Affiliation:
Oracle Labs, Australia
Contributions
2025
ICSME
Author of Levels of Binary Equivalence for the Comparison of Binaries from Alternative Builds within the Industry Track-track
ECOOP
Author of Practical Type-Based Taint Checking and Inference within the Technical Papers-track
ICSE
Author of Detecting Python Malware in the Software Supply Chain with Program Analysis within the SE In Practice (SEIP)-track
SBFT
Author of Panel on Search Based and Fuzz Testing for Security within the Search-Based and Fuzz testing-track
ICST
Author of Towards Cross-Build Differential Testing within the Short Papers, Vision and Emerging Results-track
2022
ISSTA
Programme Committee in Program Committee within the Technical Papers-track
Session Chair of Session 3-2: Fuzzing and Friends C (part of Technical Papers)
Session Chair of Session 2-10: Static Analysis and Specifications Testing B (part of Technical Papers)
ECOOP
Author of Experience: Model-Based Feedback-Driven Greybox Fuzzing for Web Applications within the Research Papers-track
Author of Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs within the Research Papers-track
2021
ECOOP/ISSTA
Author of Techniques for Evaluating Pragmatic Call Graph Builders within the Posters-track
ISSTA
Author of MOSCAN: A Model-based Vulnerability Scanner for Web Single Sign-on Services within the Tool Demonstrations-track
2020
ICFP
Panel Moderator of Women in CS Panel within the Social Events-track
International Conference on Technical Debt
Author of Trade-offs in Fostering Innovation and Managing Technical Debt in Industrial Research Lab within the TechDebt 2020-track
2018
SOAP
Author of Affogato: Runtime Detection of Injection Attacks for Node.js within the SOAP-track
2017
SOAP
Author of An Efficient Tunable Selective Points-to Analysis for Large Codebases within the SOAP-track
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