Research Article
Intelligent Mining of Association Rules Based on Nanopatterns for Code Smells Detection
| | Abbreviation | Phrase |
| | ACO | Ant colony optimization | | ABC | Artificial bee colony algorithm | | AC | Associative classification | | ACSM | Average concept similarity | | APR | Active pruning rules | | BA | Bat algorithm | | BC | Brain class | | BCO | Border collie optimization | | BI-ADIPOK | Bi-level anti-pattern detection and identification using possibilistic optimized k-NNs | | BM | Brain method | | CBA | Classification based on associations | | CBE | Class from the base example | | CIM | Class from the initial model | | CLOC | Changing lines of code | | CSA | Cuckoo search algorithm | | EGAPSO | Euclidean distance based genetic algorithm and particle swarm optimization | | FA | Firefly algorithm | | GA | Genetic algorithm | | GP | Genetic programming | | HCA | Hill climbing algorithm | | HPSOM | Hybrid particle swarm optimization with mutation | | LSA | Latent semantic analysis | | MARC | Mining association rules from code | | ML | Machine learning | | PEA | Parallel evolutionary algorithm | | PSO | Particle swarm optimization | | UML | Unified modelling language |
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