Moderate Detection and Removal of Omnipresent Modules in Software Clustering.
Keisuke YanoAkihiko MatsuoPublished in: ICSME (2020)
Keyphrases
- k means
- software modules
- anomaly detection
- detection accuracy
- clustering algorithm
- detection algorithm
- clustering method
- automatic detection
- detection rate
- computer systems
- software systems
- object detection
- unsupervised learning
- false alarms
- false positives
- graph theoretic
- software tools
- software architecture
- outlier detection
- cluster analysis
- self organizing maps
- user interface
- document clustering
- data clustering
- data sets
- hierarchical clustering
- fuzzy clustering
- detection method
- software maintenance
- software development
- open systems
- neural network