Automated Software Engineering: A Deep Learning-Based Approach

Häftad, Engelska, 2021

AvSuresh Chandra Satapathy,Ajay Kumar Jena,Jagannath Singh,Saurabh Bilgaiyan

1 969 kr

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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.

Produktinformation

Utgivningsdatum2021-01-08
Mått155 x 235 x 8 mm
Vikt213 g
FormatHäftad
SpråkEngelska
SerieLearning and Analytics in Intelligent Systems
Antal sidor118
FörlagSpringer Nature Switzerland AG
ISBN9783030380083

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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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