Search Result "Software defects"
An Optimized Software Defect Prediction Model Based on PSO - ANFIS
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 9 Year: 2021 Page: 2732-2741
Author(s): Misha Kakkar,Sarika Jain,Abhay Bansal,P.S. Grover
Cognitive Inherent SLR Enabled Survey for Software Defect Prediction
Journal: Recent Advances in Computer Science and Communications
Volume: 17 Issue: 5 Year: 2024 Page: 1-11
Author(s):
Software Reliability Prediction of Open Source Software Using Soft Computing Technique
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 2 Year: 2021 Page: 612-621
Author(s): Saini G.L.,Deepak Panwar,Vijander Singh
An Innovative Model-Driven SlicingApproach for Testing Adaptive Software
Journal: Recent Patents on Computer Science
Volume: 10 Issue: 2 Year: 2017 Page: 165-170
Author(s): Sanaz Sheikhi,Seyed Morteza Babamir
Research on Failure Pressure of API 5L X100 Pipeline with Single Defect
Journal: Recent Innovations in Chemical Engineering
Volume: 17 Issue: 2 Year: 2024 Page: 134-155
Author(s):
Automation Testing Software that Aid in Efficiency Increase of Regression Process
Journal: Recent Patents on Computer Science
Volume: 6 Issue: 2 Year: 2013 Page: 107-114
Author(s): Alok N. Bhatt,M. Rajasekhara Babu,Anuja J. Bhatt
Research on Automatic Detection System of Drawing Defects based onMachine Vision
Journal: Recent Patents on Engineering
Volume: 18 Issue: 8 Year: 2024 Page: 60-75
Author(s):
Deep Learning-Based Detection of Defects from Images
Ebook: Green Industrial Applications of Artificial Intelligence and Internet of Things
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815223255124010016
Feature Clustering and Ensemble Learning Based Approach for SoftwareDefect Prediction
Journal: Recent Advances in Computer Science and Communications
Volume: 15 Issue: 6 Year: 2022 Page: 868-882
Author(s): R. Srivastava,Aman Kumar Jain
Selective Laser Melting Based Additive Manufacturing: Materials, Properties and Defect Analysis
Ebook: Advances in Additive Manufacturing Processes
Volume: 1 Year: 2021
Author(s): Arjun R. Jagadish,B. Santhi,Dinesh Kumar Rajendran,Varthini Rajagopal
Doi: 10.2174/9789815036336121010009