This paper provides a methodology for Validation and Verification (V&V) of a Bayesian Network (BN) model for aircraft vulnerability against Infrared (IR) missile threats. The model considers that the aircraft vulnerability depends both on a missile’s performance as well as the doctrine governing the missile’s launch. The model is a Knowledge Based System (KBS) and therefore has a knowledge base which consists of both expert knowledge and simulated data which acts as input to the model and is used during inferencing to understand how variables interact. A widely accepted process to certify that a model is suitable for use is the Verification, Validation and Accreditation (VV&A) procedure and is followed in this paper. Throughout the V&V procedure, similarities are drawn between this VV&A process and the well-known Vee-model.
Reference:
Schietekat, S., De Waal, A. and Gopaul, K.G. 2016. Validation & verification of a Bayesian network model for aircraft vulnerability. 12th INCOSE SA Systems Engineering Conference, 12-14 September 2016, CSIR International Convention Centre, Pretoria, South Africa
Schietekat, S., De Waal, A., & Gopaul, K. G. (2016). Validation & verification of a Bayesian network model for aircraft vulnerability. INCOSE. http://hdl.handle.net/10204/9209
Schietekat, Sunelle, Alta De Waal, and Kevin G Gopaul. "Validation & verification of a Bayesian network model for aircraft vulnerability." (2016): http://hdl.handle.net/10204/9209
Schietekat S, De Waal A, Gopaul KG, Validation & verification of a Bayesian network model for aircraft vulnerability; INCOSE; 2016. http://hdl.handle.net/10204/9209 .