Abstract: Accomplishment of optimization technique on Object Oriented design component is a very challenging task. The prior model DyRM has introduced a technique to perform modeling of design reusability under three real-time constraints. The proposed study extends the DyRM model by incorporating optimization using multilayered perception techniques in neural network. The system takes the similar input as is done by the prior DyRM, which is subjected to Levenberg-Marquardt optimization algorithm using multi-layer perceptron of configuration 4-24-2 to generate the optimal output of consistency factor. The paper discusses the underlying technique elaborately and presents the outcome that shows a good curve fits between experimental and predicted data. The model is therefore termed as optimized DyRM (oDyRM) to evaluate the consistency factor associated with the proposed model.

R. Selvarani and P. Mangayarkarasi, “oDyRM: Optimized Dynamic Reusability Model for Enhanced Software Consistency” International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080322

@article{Selvarani2017,
title = {oDyRM: Optimized Dynamic Reusability Model for Enhanced Software Consistency},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080322},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080322},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {3},
author = {R. Selvarani and P. Mangayarkarasi}
}