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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http://www.sciencedirect.com/science/article/pii/S131915782200026X

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

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