EDBT 2026 Demo / reviewers in the wild / expert
Sooncheol Won
dblp:174/2043
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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.
| Software engineering, system software, and programming languages
1 paper |
Program analysis · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis › dynamic language analysis
javascript analysis |
0.2 | 1 | 2015 | Static Analysis of JavaScript Web Applications in the Wild via Practical DOM Modeling (T) · ASE 2015 |
Program analysis
static analysis |
0.2 | 1 | 2015 | Static Analysis of JavaScript Web Applications in the Wild via Practical DOM Modeling (T) · ASE 2015 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Static Analysis of JavaScript Web Applications in the Wild via Practical DOM Modeling (T)abstractWe present SAFEWapp, an open-source static analysis framework for JavaScript web applications. It provides a faithful (partial) model of web application execution environments of various browsers, based on empirical data from the main web pages of the 9,465 most popular websites. A main feature of SAFEWapp is the configurability of DOM tree abstraction levels to allow users to adjust a trade-off between analysis performance and precision depending on their applications. We evaluate SAFEWapp on the 5 most popular JavaScript libraries and the main web pages of the 10 most popular websites in terms of analysis performance, precision, and modeling coverage. Additionally, as an application of SAFEWapp, we build a bug detector for JavaScript web applications that uses static analysis results from SAFEWapp. Our bug detector found previously undiscovered bugs including ones from wikipedia.org and amazon.com. Changhee Park, Sooncheol Won, Joonho Jin, Sukyoung Ryu |
ASE | 2 |