EDBT 2026 Demo / reviewers in the wild / expert
Kiet Ngo
dblp:337/0774
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
flaky test |
0.6 | 1 | 2022 | Research on Test Flakiness: from Unit to System Testing · ASE 2022 |
Software testing
system testing |
0.6 | 1 | 2022 | Research on Test Flakiness: from Unit to System Testing · ASE 2022 |
Software testing
unit testing |
0.2 | 1 | 2022 | Research on Test Flakiness: from Unit to System Testing · ASE 2022 |
Methods — techniques the papers use, named apart from their topics
literature review · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Research on Test Flakiness: from Unit to System TestingabstractTest flakiness has been a common problem in the software automation testing, affecting the effectiveness and productivity of test automation. Many studies have been published to tackle test flakiness in the software research community, and existing test automation tools provide capabilities to address issues related to test flakiness. This paper describes our review of recent approaches in the research community and popular industrial tools with capabilities to tackle test flakiness. Our review indicates that while many studies focus on test flakiness in unit testing, few address the problem in the end-to-end system testing. On the contrary, industrial test automation tools tend to be more concerned with test flakiness at the system level. Kiet Ngo, Vu Nguyen 0003, Tien N. Nguyen |
ASE | 1 |