Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach
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Published By Springer International Publishing

9783030380052, 9783030380069

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Test Scenarios Generation Using Combined Object-Oriented Models

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_4 ◽

2020 ◽

pp. 55-71

Author(s):

Satya Sobhan Panigrahi ◽

Ajay Kumar Jena

Keyword(s):

Object Oriented ◽

Test Scenarios

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Feature-Based Semi-supervised Learning to Detect Malware from Android

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_6 ◽

2020 ◽

pp. 93-118 ◽

Cited By ~ 1

Author(s):

Arvind Mahindru ◽

A. L. Sangal

Keyword(s):

Supervised Learning ◽

Feature Based

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Usage of Machine Learning in Software Testing

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_3 ◽

2020 ◽

pp. 39-54

Author(s):

Sumit Mahapatra ◽

Subhankar Mishra

Keyword(s):

Machine Learning ◽

Software Testing

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Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_1 ◽

2020 ◽

pp. 1-17

Author(s):

Lov Kumar ◽

Chinmay Hota ◽

Sahithi Tummalapalli ◽

Lalita Bhanu Murthy Neti

Keyword(s):

Change Proneness ◽

Selection Of

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Effort Estimation of Web Based Applications Using ERD, Use Case Point Method and Machine Learning

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_2 ◽

2020 ◽

pp. 19-37

Author(s):

Dhiraj Kumar Goswami ◽

Soham Chakrabarti ◽

Saurabh Bilgaiyan

Keyword(s):

Machine Learning ◽

Point Method ◽

Use Case ◽

Effort Estimation ◽

Web Based

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A Novel Approach of Software Fault Prediction Using Deep Learning Technique

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach ◽

10.1007/978-3-030-38006-9_5 ◽

2020 ◽

pp. 73-91 ◽

Cited By ~ 1

Author(s):

Debolina Ghosh ◽

Jagannath Singh

Keyword(s):

Deep Learning ◽

Fault Prediction ◽

Software Fault Prediction ◽

Novel Approach ◽

Learning Technique ◽

Software Fault

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Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based ApproachLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Test Scenarios Generation Using Combined Object-Oriented Models

Feature-Based Semi-supervised Learning to Detect Malware from Android

Usage of Machine Learning in Software Testing

Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules

Effort Estimation of Web Based Applications Using ERD, Use Case Point Method and Machine Learning

A Novel Approach of Software Fault Prediction Using Deep Learning Technique

Learning and Analytics in Intelligent Systems - Automated Software Engineering: A Deep Learning-Based Approach
Latest Publications