INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Software quality estimation is a necessary task at various stages of software development. It can be used to arrange the project's quality assurance processes and to establish benchmarks. Previous studies had used two methods (Multiple Criteria Linear Programming and Multiple Criteria Quadratic Programming) to evaluate the quality of software Furthermore, C5.0, SVM, and Neutral Network studies were carried out for quality estimation. These investigations have a relatively low degree of precision. In this work, we aimed to improve estimation accuracy by leveraging relevant data from a large dataset. We used a correlation matrix and feature selection method to improve accuracy.
"A Research Study to Forecast Software Quality using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.a216-a227, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404029.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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