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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Article name in the collection

Lecture Notes in Business Information Processing

ISBN

9783319681849

ISSN

1865-1348

e-ISSN

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Number of pages

14

Pages from-to

111-124

Publisher name

Springer International Publishing

Place of publication

Switzerland

Event location

Essen, Germany

Event date

Jan 1, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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