AI-based Fault-proneness Metrics for Source Code Changes.
Francesco AltieroAnna CorazzaSergio Di MartinoAdriano PeronLuigi L. L. StaracePublished in: IWSM-Mensura (2023)
Keyphrases
- source code
- software metrics
- fault prone
- software systems
- software projects
- software modules
- open source
- artificial intelligence
- software quality
- reverse engineering
- open source software
- program slicing
- software repositories
- static analysis
- development effort
- fault diagnosis
- expert systems
- quality assurance
- feature ranking
- software maintenance
- mining software repositories
- high level
- fault detection
- software engineers
- software evolution
- execution traces
- object oriented systems
- impact analysis
- program understanding
- version control
- free software
- threshold values
- computational intelligence
- white box
- linux kernel
- software artifacts
- plagiarism detection
- open source projects
- quality assessment
- black box
- development process
- software development
- software engineering
- case study