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Learning Developer‐Code Contribution Relationship to Improve Code Readability Assessment

Published in Journal of Software Evolution and Process • Aug 27, 2026
NobleIDNI0P055W137R424S416
Authors:
Qing Mi
,
Yinghui Wang
,
Jingyan Li

Abstract

Automated code readability assessment is essential for software maintenance and evolution. Current approaches mainly rely on structural, syntactic, and semantic features of individual code files to perform assessment, yet they ignore repository‐level relational information. A critical missing dimens...

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