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Siru Ni

dblp:156/9678 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none

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

Security and privacy · 2 · 2 first-authorArtificial intelligence and machine learning · 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
2016 A formal model and risk assessment method for security-critical real-time embedded systems
Siru Ni, Yi Zhuang 0002, Jingjing Gu, Ying Huo
Comput. Secur.1
2015 Discrete gbest-guided artificial bee colony algorithm for cloud service composition
Ying Huo, Yi Zhuang 0002, Jingjing Gu, Siru Ni, Yu Xue 0003
Appl. Intell.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.1