Dynamic probabilistic risk assessment (PRA) methods can improve nuclear power plant PRAs by providing rich contextual information and an explicit consideration of feedback arising from complex equipment dependencies and operator actions. The Accident Dynamics Simulator paired with the Information, Decision, and Action in a Crew context cognitive model (ADS-IDAC) is one such dynamic method that can be used for nuclear power plant risk assessments. 

The Integrated Risk Information System (IRIS) software is a platform to perform probabilistic risk assessment (PRA) based on the Hybrid Causal Logic (HCL) methodology. The HCL methodology employs a model-based approach to system analysis. The framework contains a multi-layer structure that integrates event sequence diagrams (ESDs), fault trees (FTs), and bayesian belief networks (BBNs) without converting the entire system into a large BBN.

The Hybrid Causal Logic Analyzer (HCLA) software is a cross-platform command-line tool to perform traditional probabilistic risk assessment (PRA) based on the Hybrid Causal Logic (HCL) methodology with advanced time-to-failure models, importance measures, and uncertainty quantification. The HCL methodology employs a model-based approach to system analysis.

Developed for NASA for Space Shuttle mission risk management, 1997, 2001, 2002 developed for NASA (currently a commercial software used by several government agencies and industries worldwide).

Developed for risk-based design of complex hybrid systems under a grant from NASA, 2005, SimPRA is an adaptive-scheduling simulation-based DPRA environment developed at the University of Maryland under NASA funding. SimPRA provides an extensive and multi-layered risk model building capability to capture engineering knowledge, design information, and any available information from operating experience.