Querying Source Code with Natural Language

TL;DR

This paper introduces a method for searching source code using natural language queries, aiming to improve software development and maintenance tasks by making code search more intuitive.

Contribution

It proposes a novel approach that enables natural language-based querying of source code, bridging the gap between human language and code search capabilities.

Findings

Effective natural language query processing for source code

Improved accuracy in locating code elements based on natural language

Potential to streamline software development workflows

Abstract

One common task of developing or maintaining software is searching the source code for information like specific method calls or write accesses to certain fields. This kind of information is required to correctly implement new features and to solve bugs. This paper presents an approach for querying source code with natural language.