Machine Learning Model for Measuring Cyclomatic Complexity of Source Code
Published in: International Conference On Intelligent Computing, Communications, Networking And Services (ICCNS2023)
Jun 20, 2023
Software developers strive to build high-performance and quality software with a very high degree of coherence among its components, simplified structure, and reduced complexity. A cyclomatic complexity measure is used to identify areas of code that are difficult to maintain or debug by determining how many independent paths, conditional and iteration statements there are through the source code. Using AI, it is possible to estimate and measure the cyclomatic complexity of source code by analyz...
The Level of Environmental Education Awareness Among Student-Teachers Enrolled in the Professional Diploma Program in Teaching and its Relation with some Variables
Published in: Journal of Namibian Studies
Jun 19, 2023
Wafa' Hazaymeh
Abdellateef AlQawasmi
Ibtehal Aburezeq
Azhar Shater
Asmaa Almahdawi
Using natural language processing for programming language code classification with Multinomial Naive Bayes
Published in: Revue d'Intelligence Artificielle
Jun 01, 2023
Ayman Odeh
Munther Odeh
Hussein Odeh
Nada Odeh
Classifying Programming Languages scripts is very important task for several reasons such as: automated analysis, code maintenance, code search, quality assurance, and code understanding; this process is similar to processing natural languages, especially high-level languages like Python, Java, C#, C, C++, PHP, JavaScript, and others. Leveraging natural language processing concepts, this research explores the application of the Multinomial Naïve Bayes (MNB) algorithm to identify and classify pr...