Demo Data from VLDB 2026 / reviewers in the wild / expert
Shanna Li
dblp:360/7526
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 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 |
Software testing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
combinatorial testing |
0.7 | 1 | 2023 | ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android Apps · ASE 2023 |
Software testing
test generation |
0.7 | 1 | 2023 | ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android Apps · ASE 2023 |
Methods — techniques the papers use, named apart from their topics
static parameter extraction · 0.7combinatorial testing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android AppsabstractComponents are the fundamental building blocks of Android applications. Different functional modules represented by components often rely on inter-component communication mechanisms to achieve cross-module data transfer and method invocation. It is necessary to conduct robustness testing on components to prevent component launching crashes and privacy leaks caused by unexpected input parameters. However, as the complexity of the input parameter structure and the diversity of possible inputs, developers may overlook specific inputs that result in exceptions. At the same time, the vast input space also brings challenges to efficient component testing. In this paper, we designed an automated test generation and execution tool for Android application components named ICTDroid, which combines static parameter extraction and adaptive-strength combinatorial testing generation to detect bugs with a compact test suite. Experiments have shown that the tool triggers 205 unique exceptions in 30 open-source applications with 1,919 test cases in 83 minutes, where the developers have confirmed six defects in three issues we reported. Shixin Zhang, Shanna Li, Jiwei Yan, Jun Yan 0009 |
ASE | 2 |