Automated Software Engineering: A Deep Learning-Based Approach

Chapter 1 Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules

Chapter 2 Effort Estimation of Web Based Applications Using ERD, Use Case Point Method and Machine Learning

Chapter 3 Usage of Machine Learning in Software Testing

Chapter 4 Test Scenarios Generation Using Combined Object-Oriented Models

Chapter 5 A Novel Approach of Software Fault Prediction Using Deep Learning Technique

Chapter 6 Feature-Based Semi-supervised Learning to Detect Malware from Android