A Question-Driven Source Code Recommendation Service Based on Stack Overflow
Hang Yin, Zhiyu Sun, Yanchun Sun, Wenpin Jiao · 2019
In order to help users get the source code in SO directly, this paper proposes a question-driven source code recommendation service based on the source code in Stack Overflow(SO). The service utilizes a question-code matching model to recommend users source code snippets which can solve the development problems users encounter. We evaluate the recommendation accuracy of the recommendation service and verify its feasibility. This service outperforms other approaches on recommendation accuracy, and the effectiveness of the service is also discussed.