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In this work we apply several Poisson and zero-inflated models for softwaredefect prediction. We apply different functions from several R packages such aspscl, MASS, R2Jags and the recent glmmTMB. We test the functions using theEquinox dataset. The results show that Zero-inflated models, fitted with eithermaximum likelihood estimation or with Bayesian approach, are slightly betterthan other models, using the AIC as selection criterion.

Software defect prediction with zero-inflated Poisson models