International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
With increasing complexity of modern software is also intending to put a serious concern about the increasing cost of maintenance. Thus, to design a measurement tools for software maintainability is of paramount importance. Soft computing based techniques are widely used for the prediction problems. It has been seen that in various engineering problems, these techniques have been proved quite useful. Present research proposes a neural network based approach to predict the software maintainability in early phases of the project development so that corrective measures can be initiated to make it more manageable and maintainable.
How to cite this article:
Arun Sharma and Ankur Bhardwaj. Defect Density Based Maintenance Prediction: A Neural Network Based Approach.
DOI: https://doi.org/10.36478/ijscomp.2013.335.339
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2013.335.339