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A learning-based module extraction method for object-oriented systems
Ural Erdemir
*
,
Feza Buzluca
*
Corresponding author for this work
Department of Computer Engineering
Informatics and Information Security Research Center (BİLGEM)
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Citations (Scopus)
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Keyphrases
Learning-based
100%
Extraction Methods
100%
Module Extraction
100%
Object-oriented Systems
100%
Software System
33%
Object-oriented
33%
Cloud-based
33%
Design Principles
33%
Highly Accurate
33%
Clustering Algorithm
33%
Directed Graph
33%
Open Source Project
33%
Object-oriented Design
33%
Object-oriented Software Systems
33%
Efficient Architecture
33%
Legacy Software
33%
Weighted Graph
33%
Specific Group
33%
Reusable Software
33%
Machine Learning Classification
33%
Classification System
33%
Real Objects
33%
Industrial Projects
33%
Extraction System
33%
Software Comprehension
33%
Architecture Recovery
33%
Weight of an Edge
33%
Distributed Systems
33%
Module Structure
33%
Service-oriented Architecture
33%
Computer Science
Software Systems
100%
Object-Oriented System
100%
Open Source
50%
object oriented software
50%
Clustering Algorithm
50%
Distributed Systems
50%
Directed Graphs
50%
Object-Oriented Design
50%
Candidate Service
50%
Reusable Software
50%
Service Oriented Architecture
50%
weighted graph
50%
Experimental Result
50%
Reference System
50%
Machine Learning
50%
Learning System
50%