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Automated Software Engineering: A Deep Learning-Based Approach

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Cover of 'Automated Software Engineering: A Deep Learning-Based Approach'

Table of Contents

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    Book Overview
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    Chapter 1 Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules
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    Chapter 2 Effort Estimation of Web Based Applications Using ERD, Use Case Point Method and Machine Learning
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    Chapter 3 Usage of Machine Learning in Software Testing
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    Chapter 4 Test Scenarios Generation Using Combined Object-Oriented Models
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    Chapter 5 A Novel Approach of Software Fault Prediction Using Deep Learning Technique
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    Chapter 6 Feature-Based Semi-supervised Learning to Detect Malware from Android
Attention for Chapter 4: Test Scenarios Generation Using Combined Object-Oriented Models
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