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Classification of role stereotypes for classes in UML class diagrams using machine learning


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/67955

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Title: Classification of role stereotypes for classes in UML class diagrams using machine learning
Authors: Ahmed, Jobaer
Huang, Maoyi
Issue Date: 3-Mar-2021
Degree: Student essay
Keywords: role-stereotypes
machine learning algorithm
classification
data analysis
data mining
UML class diagram
software design
software engineering
Abstract: Software development process is becoming inherently complex in recent decades. To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach can be understanding the software design for instance, the UML models earlier in the software development process. For analyzing UML models, one could use knowledge about role-stereotypes. Knowledge about role stereotypes can help during software quality assessment, for summ... more
URI: http://hdl.handle.net/2077/67955
Appears in Collections:Masteruppsatser

 

 

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