Demo Data from VLDB 2026 / reviewers in the wild / expert
Tom O'Connor
dblp:55/4501
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1
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.
| Network and information security
1 paper |
Systems and software security · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
vulnerability discovery |
0.0 | 1 | 1998 | An Automated Approach for Identifying Potential Vulnerabilities in Software · S&P 1998 |
Software testing › mutation testing
fault injection |
0.0 | 1 | 1998 | An Automated Approach for Identifying Potential Vulnerabilities in Software · S&P 1998 |
Methods — techniques the papers use, named apart from their topics
software fault injection · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | An Automated Approach for Identifying Potential Vulnerabilities in SoftwareabstractThe paper presents results from analyzing the vulnerability of security-critical software applications to malicious threats and anomalous events using an automated fault injection analysis approach. The work is based on the well understood premise that a large proportion of security violations result from errors in software source code and configuration. The methodology employs software fault injection to force anomalous program states during the execution of software and observes their corresponding effects on system security. If insecure behaviour is detected, the perturbed location that resulted in the violation is isolated for further analysis and possibly retrofitting with fault tolerant mechanisms. Anup K. Ghosh, Tom O'Connor, Gary McGraw 0001 |
S&P | 2 |