Demo Data from VLDB 2026 / reviewers in the wild / expert
Quoc-Tri Le
dblp:359/0208
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0006-2335-7282ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 · 77% Program analysis · 23% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
API testing |
0.8 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Software testing
black-box testing |
0.8 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Program analysis › static analysis › constraint-based analysis
constraint inference |
0.8 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Software testing › API testing
REST API testing |
0.8 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Software testing
test generation |
0.8 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Program analysis
schema validation |
0.2 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Software testing
test oracle |
0.2 | 1 | 2024 | Using LLM for Mining and Testing Constraints in API Testing · ASE 2024 |
Methods — techniques the papers use, named apart from their topics
large language model · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A DOM-structural cohesion analysis approach for segmentation of modern web pages
Hieu Huynh, Quoc-Tri Le, Vu Nguyen 0003, Tien Nguyen |
World Wide Web (WWW) | 2 |
| 2024 | Using LLM for Mining and Testing Constraints in API TestingabstractTesting Representational State Transfer (REST) APIs is crucial for ensuring the reliability and performance of APIs, which are essential to modern web services. This testing process helps identify and resolve issues related to data exchange and integration with other systems. Among the various API testing techniques, black-box testing relies on the OpenAPI Specification (OAS) to generate test cases and data. However, current API test automation methods are primarily focused on status code [10] and schema validation [1]. Status code validation involves ensuring that each HTTP request returns a response with a status code, a three-digit integer that indicates the outcome of the request. Schema validation verifies the correctness of the response data by comparing it to the schema. This includes checking that all required properties are present and that data types of these properties align with the schema specified. Hieu Huynh, Quoc-Tri Le, Tien N. Nguyen, Vu Nguyen 0003 |
ASE | 2 |
| 2023 | Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach
Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen 0003, Tien Nguyen |
WISE | 2 |