A Rules Based Decision Making Model for Business Impact Analysis: The Business Function Criticality Classifier

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F17%3A00004224" target="_blank" >RIV/46747885:24310/17:00004224 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/content/pdf/10.1007/978-3-319-68185-6_8" target="_blank" >http://link.springer.com/content/pdf/10.1007/978-3-319-68185-6_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-68185-6_8" target="_blank" >10.1007/978-3-319-68185-6_8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Rules Based Decision Making Model for Business Impact Analysis: The Business Function Criticality Classifier

Popis výsledku v původním jazyce

The present article aims to present a rules based decision making model for a crucial business impact analysis task, namely the non-arbitrary criticality ranking of an individual business function. The model aims to serve as a classifier for the specific task. The components of the developed classifier are the inducted decision trees based on a data set and their supporting business rules. Moreover a business process representation with the Business Object Relation Modeling approach is included. The data set for creating the classifier has been based on computations of specific recovery complexity parameters. The parameters are included in the proposed by the author business continuity points method for estimating the recovery complexity of a business function, which, in its turn, stems from the use case points approach for software complexity estimation. The current work includes primary results of computations based on the default recovery case.

Název v anglickém jazyce

A Rules Based Decision Making Model for Business Impact Analysis: The Business Function Criticality Classifier

Popis výsledku anglicky

The present article aims to present a rules based decision making model for a crucial business impact analysis task, namely the non-arbitrary criticality ranking of an individual business function. The model aims to serve as a classifier for the specific task. The components of the developed classifier are the inducted decision trees based on a data set and their supporting business rules. Moreover a business process representation with the Business Object Relation Modeling approach is included. The data set for creating the classifier has been based on computations of specific recovery complexity parameters. The parameters are included in the proposed by the author business continuity points method for estimating the recovery complexity of a business function, which, in its turn, stems from the use case points approach for software complexity estimation. The current work includes primary results of computations based on the default recovery case.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Business Information Processing

ISBN

9783319681849

ISSN

1865-1348

e-ISSN

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Počet stran výsledku

14

Strana od-do

111-124

Název nakladatele

Springer International Publishing

Místo vydání

Switzerland

Místo konání akce

Essen, Germany

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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