The Design And Implementation Of Recommender System Based On Knowledge Graph About Bugzilla

Open source software development is a human-oriented knowledge-intensive la-bor.For newcomers,the best way to start in a new project is to contribute a bug fix.A bug report is a document between a developer and a reporter that describes the occur-rence of bugs in a specific format.Although newcomers have certain programming ability,they know nothing about the bug tracking system of the current project.At this time,he is a knowledge seeker,so he needs a knowledge provider.Knowledge Graph can effectively organize a large number of professional knowl-edge,experience,bug reports and user activity records gathered in the bug tracking sys-tem.At the same time,with the help of recommendation technology based on Knowl-edge Graph,personalized recommendation of issue can be provided based on user's interest,which meets the needs of users to obtain background knowledge of the bug tracking system.In this thesis,the knowledge graph about bugzilla are constructed.We apply the recommendation algorithm based on knowledge graph to make personalized issue rec-ommendation for users.With our system,users can deepen their understanding of bug tracking system through recommended paths,which greatly improves the efficiency.