Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

作者：Podaras Athanasios^*

来源：IEEE Access, 2018, 6: 41598-41606.

DOI：10.1109/ACCESS.2018.2860976

• Business continuity points
• business function
• criticality ranking
• classifier
• R-Studio

This paper illustrates the most recent results regarding the criticality ranking decision support classifier for an individual business function. The validated classifier is part of the business continuity points approach which estimates the recovery complexity of an individual business function and is based on the use case points method for estimating the software complexity. The business continuity points method is utilized in order to estimate specific recovery complexity parameters of a given business function. A part of the approach concerns the business function criticality ranking which is based on the recovery complexity parameters. In this paper, we measure the accuracy in the criticality ranking classifier by comparing results between the speedy and the detailed criticality ranking of a business function. The measurement is performed via the R-Studio software and the confusion matrix technique. The results are based on a learning data set prepared in MS Excel which includes the empirical calculations for constructing the specific classifier.

• 出版日期2018