Abstract: Methods, software programs, and systems for behavioral analysis of computer applications, and, more particularly, for the prediction of application behavior within and across heterogeneous environments, using machine learning techniques, are disclosed. A method according to certain of these embodiments includes retrieving merged configuration/utilization data and generating predicted application behavior information. The merged configuration/utilization data includes at least a portion of application configuration information and at least a portion of environment configuration information. The application configuration information is information regarding a configuration of an application. The environment configuration information is information regarding a configuration of an environment in which the application is executed. The predicted application behavior information is generated using a machine learning model, which receives the merged configuration/utilization data as one or more inputs.