International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 36 |
Year of Publication: 2019 |
Authors: Pankaj Kumar, Sarvottam Dixit, S. K. Singh |
10.5120/ijca2019918352 |
Pankaj Kumar, Sarvottam Dixit, S. K. Singh . Performance of Aspect-Oriented Software Quality Modelling using Artificial Neural Network Technique. International Journal of Computer Applications. 182, 36 ( Jan 2019), 6-10. DOI=10.5120/ijca2019918352
An exact estimation is the key focus of any prediction model. Software quality is one of the basic research issue for software organizations. Of late, different uses of soft computing techniques has been endeavored. This has been conceivable because of the accessibility of informational collections of expansive a large number of finished projects. Among various soft computing techniques, Artificial Neural Network (ANN) based models are outstanding, which to a great degree needs more research work and tries to find the most sensible model for software quality in term of accuracy, evolvability, extensibility, sustainability, design stability, and configurability associated with the suitability of model. This paper attempts to explore the performance of aspect-oriented quality modelling using artificial neural network technique. Software quality relies upon a few performance elements. Further, these elements are related to each other and influence the software development process and quality directly or indirectly.