Predicting software reuse using machine learning techniques-A case study on open-source Java software systems

Software reuse is an essential practice to increase efficiency and reduce costs in software production. Software reuse practices range from reusing artifacts, libraries, components, packages, and APIs. Identifying suitable software for reuse requires pinpointing potential candidates. However, there...

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Vydáno v:	PloS one Ročník 20; číslo 2; s. e0314512
Hlavní autoři:	Yeow, Matthew Yit Hang, Chong, Chun Yong, Lim, Mei Kuan, Yee Yen, Yuen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 13.02.2025 Public Library of Science (PLoS)
Témata:	Algorithms Artifact identification Automation Biology and Life Sciences Classification Code reuse Computer and Information Sciences Design and construction Engineering and Technology Learning algorithms Machine Learning Maintainability Methods Open source software Physical Sciences Programming Languages Regression analysis Regression models Research and Analysis Methods Reuse Science Policy Software Software development Software engineering Software quality Software reuse Subject specialists Malaysia
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
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