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Xiangying Kong

dblp:160/1439 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Security and privacy · 1

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
Requirements engineering and software design · 50% Program verification · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% Performance modeling and evaluation · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program verification
formal modeling
0.212015
Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015
Requirements engineering and software design
model-driven engineering
0.212015
Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015
Performance modeling and evaluation
dependability modeling
0.212015
Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015
Embedded and real-time systems
real-time embedded systems
0.212015
Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015

Methods — techniques the papers use, named apart from their topics

z notation · 0.4model transformation · 0.4MARTE profile · 0.4
YearPublicationVenuePosition
2025 An Unsupervised Learning Log Anomaly Detection Method Based on Graph Neural Network
Xianlang Hu, Guangsheng Feng, Xinling Huang, Xiangying Kong, Hongwu Lv
NPC (2)4
2015 Modeling Dependability Features for Real-Time Embedded Systems
abstract
Ensuring dependability is significant in the development process of Real-Time Embedded Systems (RTESs). The dependability of a system model is usually presented by temporal and data constraints, which are ambiguous and incomplete when using semi-formal methods. Formal methods have precise semantics and strong verifiability, but few can capture the dependability features for RTESs. This paper presents Z-MARTE, an extensible modeling method combining MARTE profile and Z notation, to provide rigorous specifications towards the dependability features of RTESs. To extend the descriptive ability of Z, we design the time model, structure model and behavior model in Z-MARTE, specifying temporal and data constraints in the form of predicates. Z-MARTE can be edited and verified by the existing tools for Z. The converting from MARTE to Z-MARTE is supported by ZMT, a model transformation tool we design. A case study of a communication system is given to illustrate the modeling and verification procedure of Z-MARTE.
Siru Ni, Yi Zhuang 0002, Zining Cao, Xiangying Kong
IEEE Trans. Dependable Secur. Comput.4