Classification Techniques Use to Empirically Validate Redundancy Metrics as Reliability Indicators based on Fault-proneness Attribute.
Dalila AmaraLatifa Ben Arfa RabaiPublished in: ENASE (2022)
Keyphrases
- software metrics
- fault prone
- software quality
- software systems
- software projects
- fault diagnosis
- software modules
- reverse engineering
- quality assurance
- fault tree
- threshold values
- attribute values
- reliability analysis
- fault detection
- real world
- source code
- error detection
- failure modes
- open source
- fault management
- neural network
- multiple faults
- software repositories
- similarity metrics
- evaluation metrics
- information content
- software engineering
- artificial intelligence
- reliability assessment
- real time
- cold standby