Implementing GitLab Data Collection Worker and Mapper to bind the responses of GitLab API, Github API & the Augur schema
The project aims to develop a Gitlab collection worker closely tied up with the Github collection worker using mapper files to bind the intended...
Machine Learning for Anomaly Detection in Open Source Communities
Open-source software development is a collaborative effort that requires decentralized decision making from different developers and maintainers. In...
Large Social Network Analysis and Anomaly Detection with Augur
Augur is a software that collect data for a list of given repositories and provide a variety of CHAOSS metrics to provides open source health and...
Social Currency Metric System
Implementing Social Currency Metric System (SCMS) will be a huge milestone in providing a better and holistic view of project health in the...
Implementation of GitLab Data Collection Worker & Test Coverage Improvement
The primary goal of this project is to congregate data pertaining to GitLab issues, commits, merge requests amongst other entities & store it into...
Creating Quality models using GrimoireLab and CHAOSS metrics
GrimoireLab is a powerful open-source platform that provides support for monitoring and in-depth analysis of software projects. It produces a rich...
Machine Learning for Anomaly Detection in Open Source Communities
This project will play one of the most vital roles in achieving Augur's goal towards analysis of open source organisation health.It will not only...
Machine Learning for Anomaly Detection in Open Source Communities
Augur is a Flask based prototyping web stack for CHAOSS metrics. It provides structured data mined from various sources like git repositories,...
Build Workflow process for CHAOSS D&I Badging Project
CHAOSS Diversity and Inclusion Badging program aims to encourage projects and events to obtain badges for good diversity and inclusion practices....