Application of neural networks in software engineering: A review

Abstract

The software engineering is comparatively new and ever changing field. The challenge of meeting tight project schedules with quality software requires that the field of software engineering be automated to large extent and human intervention be minimized to optimum level. To achieve this goal the researchers have explored the potential of machine learning approaches as they are adaptable, have learning capabilities and non-parametric. In this paper, we take a look at how Neural Network (NN) can be used to build tools for software development and maintenance tasks. © 2009 Springer Berlin Heidelberg.