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An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning

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Published in:Радіоелектронні і комп'ютерні системи
Format: Online Article RSS Article
Published: 2025
Subjects:
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collection WordPress RSS
FRELIP Feed Integration
container_title Радіоелектронні і комп'ютерні системи
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:6798
institution FRELIP
journal_source_facet Радіоелектронні і комп'ютерні системи
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_auth An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_full An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_fullStr An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_full_unstemmed An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_short An integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
title_sort an integrated approach to forecasting software system quality using bayesian correction, multi-criteria optimization, and meta-learning
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://nti.khai.edu/ojs/index.php/reks/article/view/reks.2025.3.06