A Quantitative Approach for Calculating Model Assurance Levels
Julie Street Fant, Robert G. Pettit, David Gayek · 2019
Model-based engineering (MBE) in industry is on the rise. However, improvements are still needed on the oversight and management of MBE efforts. Frequently, program managers and high level decision makers do not have background in MBE to understand models, the value the models are providing, and if they are successfully achieving their MBE goals. To address these concerns in our previous research we developed a rating scale for models, called Model Assurance Levels (MALs). A MAL level is used to concisely express the assurance the model is providing to the program, as well as, risks associated with the model. However, for MAL level to be effective and meaningful, they need to be consistently determined regardless of who is performing the assessment. Therefore, this paper describes a quantitative and repeatable approach for computing MAL levels for software models.