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A Bayesian dynamic method for analysis of software debugging process data is handled. It is addressed to predict states of software reliability. In the Bayesian analysis, hierarchical prior models are structured with the Boltzmann machine, and empirical and expert knowledge priors are supposed. These priors play roles recognized as representations for complex situations. The empirical prior based on observed data is used for the representation of uncertainty corrections. The prior of successdoi:10.5687/sss.2020.23 fatcat:qtctnf3vsjcn7au2wrdiv4ntg4