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Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study

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Published in:EMSE
Format: Online Article RSS Article
Published: 2026
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discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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publishDate 2026
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spellingShingle Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
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 Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_auth Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_full Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_fullStr Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_full_unstemmed Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_short Predicting Post-release Defects with Knowledge Units (KUs) of Programming Languages: An Empirical Study
title_sort predicting post-release defects with knowledge units (kus) of programming languages: an empirical study
topic Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s10664-026-10829-z