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Validating the Effectiveness of Object-Oriented Metrics for Predicting Maintainability
2015
Procedia Computer Science
In this study, empirically investigates the relationship of existing class level object-oriented metrics with a quality parameter i.e., maintainability. Here, different subset of Object-Oriented software metrics have been considered to provide requisite input data to design the models for predicting maintainability using Neuro-Genetic algorithm (hybrid approach of neural network and genetic algorithm). This technique is applied to estimate maintainability on two different case studies such as
doi:10.1016/j.procs.2015.07.479
fatcat:uxvqyjdmr5dk7ipcug4hewfara