Apr 29, 2009 · The classifiers learn to predict the successful continuation of an OSS project. The `successfulness' of projects is defined in terms of the ...
In this paper we propose a data mining approach for training classifiers on the OSS meta- data provided by such data repositories. The classifiers learn to ...
In this paper we propose a data mining approach for training classifiers on the OSS meta-data provided by such data repositories. The classifiers learn to ...
5 days ago · Following the Goal Question Metric (GQM) template [10], our goal is to analyze PTMs and datasets for the purpose of their classification with ...
Jul 18, 2023 · In this paper, we propose a new taxonomy in the GitHub ecosystem, called GitRanking, starting from a well-structured data set, composed of curated repositories ...
Jun 2, 2021 · For the quality evaluation of OSS, current influential evaluation models are the Open Source Maturity Model (OSMM) (Golden 2008), OpenBRR model ...
Missing: Classifiers | Show results with:Classifiers
Sep 6, 2024 · In this work, we study the application of multi-label classification techniques to predict software repositories' topics. First, we augment ...
This list identifies packages and projects that have been built by TODO Group members or found helpful for managing open source projects and offices.
Mar 26, 2024 · In this paper, we focus on QA badges in open-source projects, which present quality assurance information directly and instantly, and aim to produce some ...
Missing: Classifiers | Show results with:Classifiers
To retrieve information about the repositories to be classified, you can use GitHub's APIs and any other sources of your choice. You can find a short ...