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Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F18%3A00005584" target="_blank" >RIV/46747885:24310/18:00005584 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ACCESS.2018.2860976" target="_blank" >http://dx.doi.org/10.1109/ACCESS.2018.2860976</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2018.2860976" target="_blank" >10.1109/ACCESS.2018.2860976</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

  • Original language description

    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 .

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    2018

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    41598-41606

  • UT code for WoS article

    000442400700002

  • EID of the result in the Scopus database

    2-s2.0-85050722863