Recommendation System for Open Source Projects for Minimizing Abandonment
The rise in the creation and maintenance of Open Source Software have facilitated the software developers to contribute and prevent abandonment. Software developers often face a daunting task to select the open source projects that remain active. In the absence of any resource to guide in th...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2022-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130707 |
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| Summary: | The rise in the creation and maintenance of Open Source
Software have facilitated the software developers to contribute
and prevent abandonment. Software developers often
face a daunting task to select the open source projects that remain
active. In the absence of any resource to guide in the selection
of the Open Source Software projects, recommendation
systems is way to provide guidance to open source contributors.
In this work, we describe several approaches in creation
of recommendation systems for Open Source Software
projects. Experiments on a synthetic data set are performed
to evaluate the performance of the recommendation system. |
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| ISSN: | 2334-0754 2334-0762 |