Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach.
Sofien BoutaibMaha ElarbiSlim BechikhCarlos A. Coello CoelloLamjed Ben SaidPublished in: Appl. Soft Comput. (2022)
Keyphrases
- machine learning
- possibility theory
- design patterns
- software tools
- automatic detection
- knowledge acquisition
- expected utility
- machine learning algorithms
- false alarms
- software systems
- software architecture
- machine learning methods
- pattern detection
- artificial intelligence
- object detection
- pairwise
- data analysis
- genetic algorithm
- pattern recognition
- evolutionary computation
- false positives
- detection method
- anomaly detection
- learning algorithm
- computer systems
- software development
- source code
- computational intelligence
- text mining
- natural language processing
- information extraction
- knowledge discovery
- knowledge representation
- data mining
- decision trees
- belief functions
- software maintenance
- probability measures
- handling uncertainty
- uncertain data
- detection rate
- sequential patterns
- detection algorithm
- logic programming
- supervised learning
- software engineering
- association rules
- computer science