Year: 2023
Type: conference-paper
Abstract: Program translation refers to migrating source code from one programming language to another.It has tremendous practical value in software development, as porting software across languages is time-consuming and costly.Automating program translation is of paramount importance in software migration, and recently researchers explored unsupervised approaches due to the unavailability of parallel corpora.However, the availability of pre-trained language models for programming languages enables supervised fine-tuning with a small number of labeled examples.Therefore, we present AVATAR, a collection of 9,515 programming problems and their solutions written in two popular languages, Java and Python.AVATAR is collected from competitive programming sites, online platforms, and open-source repositories.Furthermore, AVATAR includes unit tests for 250 examples to facilitate functional correctness evaluation.We benchmark several pretrained language models fine-tuned on AVATAR.Experiment results show that the models lack in generating functionally accurate code.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4385571480