A model-driven approach to broaden the detection of software performance antipatterns at runtime.
Antinisca Di MarcoCatia TrubianiPublished in: FESCA (2014)
Keyphrases
- automatic detection
- detection method
- object detection
- software package
- software design
- detection rate
- software architecture
- computer systems
- anomaly detection
- detection algorithm
- neural network
- false positives
- software systems
- software development
- source code
- event detection
- user interface
- false alarms
- software testing
- detection scheme
- test cases
- video sequences
- detection accuracy
- multiscale
- data sets
- software application