An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks

An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks

Recently, Code Quality (CQ) has become critical in a wide range of organizations and in many areas from academia to industry. CQ, in terms of readability, security, and testability, is a major goal throughout the software development process because it affects overall Software Quality (SQ) in terms...

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Bibliographic Details
Main Authors: Shaymaa E. Sorour, Hanan E. Abdelkader, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr Abohany
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Code Quality (CQ)
Latent Dirichlet Allocation (LDA)
Convolutional Neural Networks (CNN)
Deep Learning (DL)
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S131915782200026X

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