Automated Software Engineering: A Deep Learning-Based Approach

By Jagannath SinghSuresh Chandra SatapathySaurabh Bilgaiyan, et al.

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3030380084
• ISBN13: 9783030380083
• Release Date: January 2021
• Publisher: Springer
• Length: 118 Pages
• Weight: 0.43 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"