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Publikační činnost
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Record type:
stať ve sborníku (D)
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Katedra informatiky a počítačů (31400)
Title:
Identification of Business Relevant Features in Information
Citace
Matula, J. a Žáček, J. Identification of Business Relevant Features in Information.
In:
Position papers of the Federated Conference on Computer Science and Information Systems 2017 Praha.
Poland: Annals of Computer Science and Information Systems, 2017. s. 153-159. ISBN 978-83-922646-2-0.
Subtitle
Publication year:
2017
Obor:
Informatika
Number of pages:
7
Page from:
153
Page to:
159
Form of publication:
Elektronická verze
ISBN code:
978-83-922646-2-0
ISSN code:
2300-5963
Proceedings title:
Position papers of the Federated Conference on Computer Science and Information Systems
Proceedings:
Mezinárodní
Publisher name:
Annals of Computer Science and Information Systems
Place of publishing:
Poland
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Místo konání konference:
Praha
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
user requirements, DEMO, business process, business modeling
Annotation in original language:
The paper is devoted to the utilization of DEMO enterprise ontology (Design & Engineering Methodology for Organizations) for refactoring purposes in software development. The main contribution of the paper resides in presentation of the method which interconnects ontological models of business processes with information system features implementation. Also, it allows the evaluation of their relevancy for enterprise. In contrast to other methods based on best practices, the proposal uses ontological description of business processes defined upon the theory in DEMO methodology. This makes the proposal unique compared to other approaches. Moreover, it provides a clear differentiation of features which are important for performing tasks by employees in company.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/17:A1801RQD
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