Computer Science
Software Quality
75%
Processing Software
50%
Software Engineering
50%
Natural Language Processing
50%
Text Mining
50%
Machine Learning
50%
Source Codes
50%
Deep Learning Model
50%
Technical Architecture
50%
Software Architecture
50%
Anti-Pattern
50%
Data Augmentation
50%
Deep Learning Method
50%
Software Systems
50%
Development Tool
50%
Widespread Adoption
50%
Class Imbalance
25%
Software Development
25%
Performance Evaluation
25%
Term Maintenance
25%
Design Requirement
25%
Large Language Model
25%
Maintainability
25%
Early Research
25%
Imbalanced Data
25%
Baseline Method
25%
Bidirectional Long Short-Term Memory Network
25%
Lifecycle Stage
25%
Bidirectional Encoder Representations From Transformers
25%
Keyphrases
Self-admitted Technical Debt
100%
Processing Software
50%
Text Mining
50%
Natural Language Processing
50%
Software Engineering
50%
Balanced Dataset
50%
Augmented Dataset
50%
Learning Augmentation
50%
Practice Report
50%
Detection Device
50%
Labeled Data
18%
Technical Debt
16%
Pull Request
12%
Existing Data
12%
Deep Learning Model
12%
Commit Messages
12%
Deep Machine Learning
12%
Source Code Comments
12%
Machine Learning Learning
12%
Issue Tracker
12%
Fan-in
12%
Fan-out
12%
Platform Compatibility
10%
Robust Management
10%
Suboptimal Solutions
10%
Widespread Adoption
10%
Anti-patterns
10%
Findable
10%
Comprehensive State
10%
Textual Artefacts
10%
Software Quality
10%
Maintaining Software
10%
Tool Development
10%
Technological Obsolescence
10%
Performance Improvement
6%
Performance Validation
6%
Class Imbalance
6%
Code-based
6%
Software Artifacts
6%
Training Evaluation
6%
Specific Types
6%
Technical Debt Identification
6%
Evaluation Performance
6%
Training Machine
6%
