1 Result #1: Developing a bayesian belief network model for quantifying the probability of software failure of a protection system [2018] Creators & Contributors: Chu, Tsong-Lun; U.S. Nuclear Regulatory Commission > Office of Nuclear Regulatory Research E-Book Washington, D.C. : United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, January 2018 Y 3.N 88:25/7233 Loading... FIND IT Online Connect to online version Ask at the Service Desk Check availability
2 Result #2: Development of a statistical testing approach for quantifying safety-related digital system on demand failure probability [2017] Creators & Contributors: Chu, Tsong-Lun; U.S. Nuclear Regulatory Commission > Division of Risk Analysis E-Book Washington, DC : United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, May 2017 Y 3.N 88:25/7234 Loading... FIND IT Online Connect to online resource Ask at the Service Desk Check availability
3 Result #3: Development of quantitative software reliability models for digital protection systems of nuclear power plants [2013] Creators & Contributors: Chu, Tsong-Lun; U.S. Nuclear Regulatory Commission > Office of Nuclear Regulatory Research +2 more E-Book Washington, D.C. : United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2013 Y 3.N 88:25/7044/FINAL Loading... FIND IT Online Connect to online resource Ask at the Service Desk Check availability
4 Result #4: Development of quantitative software reliability models for digital protection systems of nuclear power plants: draft report for comments [2011] Creators & Contributors: Chu, Tsong-Lun; U.S. Nuclear Regulatory Commission > Office of Nuclear Regulatory Research E-Book Washington,DC : U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, [2011] Y 3.N 88:25/7044 Loading... FIND IT Online Connect to online resource Ask at the Service Desk Check availability