Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

An evaluation study of large language models for addressing code quality issues

Saved in:
Bibliographic Details
Published in:EMSE
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030192454860800
collection WordPress RSS
FRELIP Feed Integration
container_title EMSE
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12848
institution FRELIP
journal_source_facet EMSE
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An evaluation study of large language models for addressing code quality issues
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
title An evaluation study of large language models for addressing code quality issues
title_auth An evaluation study of large language models for addressing code quality issues
title_full An evaluation study of large language models for addressing code quality issues
title_fullStr An evaluation study of large language models for addressing code quality issues
title_full_unstemmed An evaluation study of large language models for addressing code quality issues
title_short An evaluation study of large language models for addressing code quality issues
title_sort an evaluation study of large language models for addressing code quality issues
topic Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s10664-026-10858-8