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Dandan Ji

dblp:319/2717 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software testing › test generation › test sequence generation
method call sequence generation
0.612022
Morest: Model-based RESTful API Testing with Execution Feedback · ICSE 2022
Software testing
model-based testing
0.612022
Morest: Model-based RESTful API Testing with Execution Feedback · ICSE 2022
Software testing › API testing
REST API testing
0.612022
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
YearPublicationVenuePosition
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 Feedback
abstract
RESTful 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
ICSE7