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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