Testing of software projects based on function points through a machine-learning approach

The software projects are coded by the software engineers either through designing function points or lines of code techniques. Both methods are equally important but due to the evolution of object-oriented technology. Function points are preferred concerning lines of code for medium and long softwa...

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Bibliographic Details
Published inInternational journal of advanced networking and applications Vol. 16; no. 5; pp. 6583 - 6590
Main Authors Kumar, Hemant, Saxena, Vipin
Format Journal Article
LanguageEnglish
Published Eswar Publications 01.03.2025
Subjects
Accuracy
Algorithms
Datasets
Function points
International conferences
Literature reviews
Machine learning
Neural networks
Programming languages
Python
Software development
Software engineering
Software quality
Support vector machines
Systematic review
Online AccessGet full text
ISSN0975-0290
0975-0282
0975-0282
DOI10.35444/IJANA.2025.16507

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Summary:The software projects are coded by the software engineers either through designing function points or lines of code techniques. Both methods are equally important but due to the evolution of object-oriented technology. Function points are preferred concerning lines of code for medium and long software projects. Further, the machine learning approach is useful for testing software projects based on the Python programming language. The present paper is based on the machine learning-based testing strategy to be used for long software projects written in Python by the software industries. The computed reports are depicted in the form of tables and graphs.
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ISSN:0975-0290
0975-0282
0975-0282
DOI:10.35444/IJANA.2025.16507