A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection.
Andrea BiaggiUmberto AzadiFrancesca Arcelli FontanaPublished in: ENASE (2023)
Keyphrases
- quality assessment
- quality assurance
- anomaly detection
- source code
- quality management
- image quality
- image and video processing
- quality attributes
- video quality
- human visual system
- perceived quality
- software systems
- image quality assessment
- subjective quality
- data quality
- visual quality
- quality metrics
- automatic evaluation
- data sets
- software development
- root cause
- perceptual image quality
- video quality assessment
- development process
- software architecture
- software engineering
- feature extraction