Demo Data from VLDB 2026 / reviewers in the wild / expert
Dandan Ji
dblp:319/2717
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2023
0000-0002-6284-8715ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Software 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › test generation › test sequence generation
method call sequence generation |
0.6 | 1 | 2022 | Morest: Model-based RESTful API Testing with Execution Feedback · ICSE 2022 |
Software testing
model-based testing |
0.6 | 1 | 2022 | Morest: Model-based RESTful API Testing with Execution Feedback · ICSE 2022 |
Software testing › API testing
REST API testing |
0.6 | 1 | 2022 | Morest: Model-based RESTful API Testing with Execution Feedback · ICSE 2022 |
Methods — techniques the papers use, named apart from their topics
model-based testing · 0.6execution feedback · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Arbitrary surface data patching method based on geometric convolutional neural network
Linyuan Fan, Dandan Ji |
Neural Comput. Appl. | 2 |
| 2023 | Multimodal deep collaborative filtering recommendation based on dual attention
Pei Yin, Dandan Ji, Hongcheng Gan, Jinxian Zhang |
Neural Comput. Appl. | 2 |
| 2022 | Morest: Model-based RESTful API Testing with Execution FeedbackabstractRESTful APIs are arguably the most popular endpoints for accessing Web services. Blackbox testing is one of the emerging techniques for ensuring the reliability of RESTful APIs. The major challenge in testing RESTful APIs is the need for correct sequences of API operation calls for in-depth testing. To build meaningful operation call sequences, researchers have proposed techniques to learn and utilize the API dependencies based on OpenAPI specifications. However, these techniques either lack the overall awareness of how all the APIs are connected or the flexibility of adaptively fixing the learned knowledge. Yi Liu 0069, Yuekang Li, Gelei Deng, Yang Liu 0003, Ruiyuan Wan, Runchao Wu, Dandan Ji, Shiheng Xu, Minli Bao |
ICSE | 7 |