{
"item_title" : "Automated Software Engineering",
"item_author" : [" Suresh Chandra Satapathy", "Ajay Kumar Jena", "Jagannath Singh "],
"item_description" : "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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Automated Software Engineering : A Deep Learning-Based Approach
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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.
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Details
- ISBN-13: 9783030380052
- ISBN-10: 303038005X
- Publisher: Springer
- Publish Date: January 2020
- Dimensions: 9.21 x 6.14 x 0.38 inches
- Shipping Weight: 0.8 pounds
- Page Count: 118
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