Query Expansion Based on Crowd Knowledge for Code Search

Understand

As code search is a frequent developer activity in software development practices, improving the performance of code search is a critical task.

• In the text retrieval based search techniques employed in the code search, the term mismatch problem is a critical language issue for retrieval effectiveness.
• By reformulating the queries, query expansion provides effective ways to solve the term mismatch problem.
• In this paper, we propose Query Expansion based on Crowd Knowledge (QECK), a novel technique to improve the performance of code search algorithms.