Enhancing Recommendation Engine for Open Source Software with Community Structures and Copulas

In the constantly expanding world of open source software and services, developers find it increasingly difficult to choose open source that is compliant, secure and reliable. There are millions of open source software and services publicly available today, and compliance, security and quality related information is extremely difficult for developers to find, making mindful selection of open source an onerous process. Black Duck Software is building a semantic search engine that allows users to describe their requirements in natural language and receive results that meet quality, legal and security requirements. In this research project, the candidate will develop mathematical models and computational techniques that analyze open source software and make suitable recommendations based on user specified criteria that meet quality, legal and security requirements. TO BE CONT’D

Faculty Supervisor:

Kui Wu

Student:

Feng Qiu

Partner:

Black Duck Software Canada Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program: