Automatically recognizing the semantic elements from UML class diagram images

Fangwei Chen; Li Zhang; Xiaoli Lian; Nan Niu

doi:10.1016/j.jss.2022.111431

Automatically recognizing the semantic elements from UML class diagram images

Fangwei Chen, Li Zhang, Xiaoli Lian, Nan Niu

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	111431
Journal	Journal of Systems and Software
Volume	193
DOIs	https://doi.org/10.1016/j.jss.2022.111431
State	Published - Nov 2022
Externally published	Yes

ASJC Scopus Subject Areas

Software
Information Systems
Hardware and Architecture

Keywords

Class diagram
Inconsistency check
UML image recognition

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10.1016/j.jss.2022.111431

Cite this

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title = "Automatically recognizing the semantic elements from UML class diagram images",

keywords = "Class diagram, Inconsistency check, UML image recognition",

author = "Fangwei Chen and Li Zhang and Xiaoli Lian and Nan Niu",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

month = nov,

doi = "10.1016/j.jss.2022.111431",

language = "English",

volume = "193",

}

TY - JOUR

T1 - Automatically recognizing the semantic elements from UML class diagram images

AU - Chen, Fangwei

AU - Zhang, Li

AU - Lian, Xiaoli

AU - Niu, Nan

PY - 2022/11

Y1 - 2022/11

KW - Class diagram

KW - Inconsistency check

KW - UML image recognition

UR - https://www.scopus.com/pages/publications/85134431833

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U2 - 10.1016/j.jss.2022.111431

DO - 10.1016/j.jss.2022.111431

M3 - Article

AN - SCOPUS:85134431833

SN - 0164-1212

VL - 193

JO - Journal of Systems and Software

JF - Journal of Systems and Software

M1 - 111431

ER -

Automatically recognizing the semantic elements from UML class diagram images

ASJC Scopus Subject Areas

Keywords

Access to Document

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