Automated software engineering : a deep learning based approach

Automated software engineering : a deep learning based approach / Suresh Chandra Satapathy, Ajay Kumar Jena, Jagannath Singh, Saurabh Bilgaiyan.

This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid chang...

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Bibliographic Details
Main Author: Satapathy, Suresh Chandra, 1964-
Other Authors: Jena, Ajay Kumar, Singh, Jagannath, Bilgaiyan, Saurabh
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Series:Learning and analytics in intelligent systems ; v. 8.
Subjects:
Software engineering.
Machine learning.
Machine learning
Software engineering
Online Access:Click for online access
Table of Contents:
  • 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.

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