Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

Popis výsledku v původním jazyce

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 .

Název v anglickém jazyce

Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

Popis výsledku anglicky

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 .

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

2018

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

41598-41606

Kód UT WoS článku

000442400700002

EID výsledku v databázi Scopus

2-s2.0-85050722863