Shawn Wanxiang Zhong

dblp:401/8068 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0009-5401-3556ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Operating systems · 50% Program analysis · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › static analysis
dependency analysis
0.912025
Revealing the Unstable Foundations of eBPF-Based Kernel Extensions · EuroSys 2025
Operating systems › extensible operating systems › kernel extensibility
kernel extensions
0.912025
Revealing the Unstable Foundations of eBPF-Based Kernel Extensions · EuroSys 2025

Methods — techniques the papers use, named apart from their topics

static analysis · 0.9
YearPublicationVenuePosition
2025 Revealing the Unstable Foundations of eBPF-Based Kernel Extensions
abstract
eBPF programs significantly enhance kernel capabilities, but encounter substantial compatibility challenges due to their deep integration with unstable kernel internals. We introduce DepSurf, a tool that identifies dependency mismatches between eBPF programs and kernel images. Our analysis of 25 kernel images spanning 8 years reveals that dependency mismatches are pervasive, stemming from kernel source code evolution, diverse configuration options, and intricate compilation processes. We apply DepSurf to 53 real-world eBPF programs, and find that 83% are impacted by dependency mismatches, underscoring the urgent need for systematic dependency analysis. By identifying these mismatches, DepSurf enables a more robust development and maintenance process for eBPF programs, enhancing their reliability across a wide range of kernels.
Shawn Wanxiang Zhong, Jing Liu 0074, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
EuroSys1