Hybrid Artificial Intelligence Model based on Neural Network Simulation Models for Software Maintainability Prediction

Software maintenance is a procedure of adapting a software system or module after dispatch to correct errors, expand performance or other properties, or familiarize to a transformed circumstances. We can say that Software maintenance can consume as much as 92% of the over-all exertion expended on a system in its life-cycle. For prediction of software maintenance, we need specific tool or methodology that helps us in prediction of software maintenance, one of the world wide accepted tool is prediction by using Maintainability Index, keeping in a view that software applications will be more maintainable. We can also go for risk analysis phase to calculate cost factor analysis. Therefore the design team may be call for designing a more reliable design while predicting the MI in early phase of development of the software.