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• W3193999459 abstract "This work addresses the problem of metric diversity in meta-analysis for Software Engineering by clustering studies using input-output tables and by vote-counting. Diversity arises when researchers, measuring same phenomena, use different, and typically incomparable metrics making impossible a direct analysis of the effects and their sizes. Additionally, this work discusses an application of proposed approach to the case of Software Reuse." @default.
• W3193999459 created "2021-08-30" @default.
• W3193999459 creator A5069103271 @default.
• W3193999459 date "2021-08-18" @default.
• W3193999459 modified "2023-09-26" @default.
• W3193999459 title "Overcoming metric diversity in meta-analysis for software engineering: proposed approach and a case study on its usage on the effects of software reuse" @default.
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• W3193999459 doi "https://doi.org/10.1145/3468264.3473488" @default.
• W3193999459 hasPublicationYear "2021" @default.
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