SWFC-ART: A cost-effective approach for Fixed-Size-Candidate-Set Adaptive Random Testing through small world graphs.
Muhammad AshfaqRubing HuangDave ToweyMichael OmariDmitry A. YashuninPatrick Kwaku KudjoTao ZhangPublished in: J. Syst. Softw. (2021)
Keyphrases
- cost effective
- small world
- fixed size
- candidate set
- small world networks
- power law
- scale free
- sliding window
- low cost
- random graphs
- complex networks
- social networks
- cost effectiveness
- graph search
- network structure
- degree distribution
- graph mining
- graph databases
- clustering coefficient
- brute force
- graph data
- biological networks
- window size
- database
- feature space
- data streams
- machine learning