Evaluate the quality of foundational software platform by Bayesian network

摘要: The software quality model and measurement are the basis of evaluating Foundational Software Platform (FSP), but it is quite difficult or even impossible to collect whole metric data required in process measurement, which problem FSP evaluating. Bayesian networks suitable resolving including uncertainty complexity. By analyzing domain foundational platform evaluation comparing with characteristic networks, this paper proposed a method by network. includes three parts: node choosing, network learning inference. results experiments indicate for every should be built practical method.