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No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models

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Published in:EMSE
Format: Online Article RSS Article
Published: 2026
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publishDate 2026
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spellingShingle No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
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 No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_auth No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_full No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_fullStr No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_full_unstemmed No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_short No silver bullet in software analytics: Understanding the impact of model tuning metrics on the performance of software defects prediction models
title_sort no silver bullet in software analytics: understanding the impact of model tuning metrics on the performance of software defects prediction models
topic Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s10664-026-10845-z