Machine learning-based detection of open source license exceptions.
Christopher VendomeMario Linares VásquezGabriele BavotaMassimiliano Di PentaDaniel M. GermánDenys PoshyvanykPublished in: ICSE (2017)
Keyphrases
- open source
- machine learning
- open source software
- source code
- software package
- false positives
- automatic detection
- open source projects
- detection method
- machine learning algorithms
- false alarms
- detection algorithm
- object detection
- text classification
- detection rate
- feature selection
- model selection
- anomaly detection
- knowledge acquisition
- detection accuracy
- data mining
- object recognition
- computer vision
- natural language processing
- decision trees
- learning tasks
- supervised machine learning
- neural network
- information retrieval
- target detection
- genetic algorithm
- learning algorithm
- case study
- support vector
- pattern recognition
- digital libraries
- intrusion detection
- data analysis
- semi supervised learning
- information extraction