Demo Data from VLDB 2026 / reviewers in the wild / expert
Inho Lim
dblp:153/5386
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 · 87% Software maintenance and evolution · 13% | |
| Network and information security
1 paper |
Systems and software security · 100% |
Topics — the 3 heaviest of 4, 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 | 2014 | SAFEWAPI: web API misuse detector for web applications · SIGSOFT FSE 2014 |
Program analysis
static analysis |
0.2 | 1 | 2014 | SAFEWAPI: web API misuse detector for web applications · SIGSOFT FSE 2014 |
Software maintenance and evolution
software quality assurance |
0.1 | 1 | 2014 | SAFEWAPI: web API misuse detector for web applications · SIGSOFT FSE 2014 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | SAFEWAPI: web API misuse detector for web applicationsabstractThe evolution of Web 2.0 technologies makes web applications prevalent in various platforms including mobile devices and smart TVs. While one of the driving technologies of web applications is JavaScript, the extremely dynamic features of JavaScript make it very difficult to define and detect errors in JavaScript applications. The problem becomes more important and complicated for JavaScript web applications which may lead to severe security vulnerabilities. To help developers write safe JavaScript web applications using vendor-specific Web APIs, vendors specify their APIs often in Web IDL, which enables both API writers and users to communicate better by understanding the expected behaviors of the Web APIs. In this paper, we present SAFEWAPI, a tool to analyze Web APIs and JavaScript web applications that use the Web APIs and to detect possible misuses of Web APIs by the web applications. Even though the JavaScript language semantics allows to call a function defined with some parameters without any arguments, platform developers may require application writers to provide the exact number of arguments. Because the library functions in Web APIs expose their intended semantics clearly to web application developers unlike pure JavaScript functions, we can detect wrong uses of Web APIs precisely. For representative misuses of Web APIs defined by software quality assurance engineers, our SAFEWAPI detects such misuses in real-world JavaScript web applications. SungGyeong Bae, Hyunghun Cho, Inho Lim, Sukyoung Ryu |
SIGSOFT FSE | 3 |