We address the problem of synthesizing code completions for programs using APIs. Given a
program with holes, we synthesize completions for holes with the most likely sequences of …

In this paper, we propose a novel end-to-end approach for AI-assisted code completion
called Pythia. It generates ranked lists of method and API recommendations which can be …

Contemporary software applications are developed using cross-language artifacts, which
are interdependent with each other. The source code analysis of these applications requires …

We present a novel code search approach for answering queries focused on API-usage with
code showing how the API should be used. To construct a search index, we develop new …

The availability of vast amounts of publicly accessible data of source code and the advances
in modern language models, coupled with increasing computational resources, have led to …

We present Selene, a source code recommendation tool based on an associative search
engine. It spontaneously searches and displays example programs while the developer is …

The vast amount of code available on the web is increasing on a daily basis. Open-source
hosting sites such as GitHub contain billions of lines of code. Community question …

Reusing software involves learning third-party APIs, a process that is often time-consuming
and error-prone. Recommendation systems for API usage assistance based on statistical …

The Robot Operating System (ROS) has become the most popular robot development
framework in the last few years, which has loosely coupled structure and provides remote …

Programming tutorials demonstrate programming tasks with code examples. However, our
study of Stack Overflow questions reveals the low utilization of high-quality programming …