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A Survey on Transfer Learning for Cross-Project Defect Prediction
Bruno Sotto-Mayor, Meir Kalech
Ben-Gurion University of the Negev
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
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Dive into the research topics of 'A Survey on Transfer Learning for Cross-Project Defect Prediction'. Together they form a unique fingerprint.
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Keyphrases
Transfer Learning
100%
Cross-project Defect Prediction
100%
Transfer Learning Model
37%
Defect Prediction
25%
New Research Directions
12%
Design Framework
12%
Knowledge Transfer
12%
Comprehensive Survey
12%
Algorithm Design
12%
Target Domain
12%
Software Program
12%
Transfer Learning Algorithm
12%
Prediction Approach
12%
Defect Type
12%
Software Defect Prediction
12%
Defect Data
12%
Computer Science
Transfer Learning
100%
Defect Prediction
100%
Learning Approach
20%
Research Direction
10%
Design Framework
10%
Knowledge Transfer
10%
Algorithm Design
10%
Software Defect
10%
Learning Algorithm
10%
Learning Technique
10%
Mathematics
Transfer Learning
100%
Prediction Method
16%