Linguistics

Philosophy

Transfer of learning

Visualization

Software construction

Syntax

Static program analysis

Operating system

Computer science

Software

Physics

Software bug

Optics

Feature (linguistics)

Focus (optics)

Artificial intelligence

Abstract syntax

Software engineering

Programming language

Deep learning

Feature extraction

Software visualization

Software development

Machine learning

Software defect prediction aims to automatically locate defective code modules to better focus testing resources and human effort. Typically, software defect prediction pipelines are comprised of two parts: the first extracts program features, like abstract syntax trees, by using external tools, and the second applies machine learning-based classification models to those features in order to predict defective modules. Since such approaches depend on specific feature extraction tools, machine learning classifiers have to be custom-tailored to effectively build most accurate models.

Software visualization and deep transfer learning for effective software defect prediction