Developers constantly learn new APIs, but often lack necessary information from
documentation, resorting instead to popular question-and-answer platforms such as Stack …

Developers often dedicate significant time to maintaining and refactoring existing code.
However, most prior work on generative models for code focuses solely on creating new …

Software developers often struggle to update APIs, leading to manual, time-consuming, and
error-prone processes. We introduce Melt, a new approach that generates lightweight API …

Rust is a programming language that combines memory safety and low-level control,
providing C-like performance while guaranteeing the absence of undefined behaviors by …

Data scientists typically practice exploratory programming using computational notebooks,
to comprehend new data and extract insights. To do this they iteratively refine their code …

Static Analysis tools have rules for several code quality issues and these rules are created
by experts manually. In this paper, we address the problem of automatic synthesis of code …

Deep Learning (DL) is prevalently used in various industries to improve decision-making
and automate processes, driven by the ever-evolving DL libraries and compilers. The …

With the increased reliance on data-driven decisions and software services, data scientists
are becoming an integral part of many software teams and enterprise operations. To perform …

Context: While working on software projects, developers often replace third-party libraries
(TPLs) with different ones offering similar functionalities. However, choosing a suitable TPL …

Developers heavily rely on Application Programming Interfaces (APIs) from libraries to build
their projects. However, libraries might become obsolete, or new libraries with better APIs …