Comparing software fault predictions of pure and zero-inflated Poisson regression models

DOI10.1080/00207720500159995zbMath1101.68480OpenAlexW2020730439MaRDI QIDQ5712088

Kehan Gao, Robert M. Szabo, Taghi M. Khoshgoftaar

Publication date: 22 December 2005

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720500159995

zbMATH Keywords

Poisson regressionzero-inflated Poisson regressionperformance metricscomparative hypothesis testsoftware quality estimation

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30) Theory of software (68N99)

Related Items (1)

Zero-and-one-inflated Poisson regression model

Cites Work

• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• A mixed poisson–inverse‐gaussian regression model

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