Automated Extraction of Business Documentation in Enterprise Information Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00306036" target="_blank" >RIV/68407700:21230/16:00306036 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sigapp.org/acr/Issues/V16.4/ACR%2016-4.pdf" target="_blank" >https://www.sigapp.org/acr/Issues/V16.4/ACR%2016-4.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automated Extraction of Business Documentation in Enterprise Information Systems

Popis výsledku v původním jazyce

Extracting business documentation from ever-evolving information systems is a challenging task that requires a lot of effort, focus and technical expertise. Such a documentation provides a detailed overview of the system, lists domain model, operations, pre and post-conditions that impact the business flow. While all this information is captured by a particular software system, domain experts interested in such knowledge have limited access to it, either due to the lack of technical and programming expertise, or because the knowledge tangles throughout the entire system. This paper introduces a novel approach in aspect-driven information systems enabling automated extraction of business documentation and its transformation to various perspectives allowing domain experts to acquire needed and up-to-date information and knowledge. Moreover, our approach makes it possible to transform system business rules into a formal language description verifiable by checkers validating the feasibility of business operations. We demonstrate the approach in a case study indicating its benefits.

Název v anglickém jazyce

Automated Extraction of Business Documentation in Enterprise Information Systems

Popis výsledku anglicky

Extracting business documentation from ever-evolving information systems is a challenging task that requires a lot of effort, focus and technical expertise. Such a documentation provides a detailed overview of the system, lists domain model, operations, pre and post-conditions that impact the business flow. While all this information is captured by a particular software system, domain experts interested in such knowledge have limited access to it, either due to the lack of technical and programming expertise, or because the knowledge tangles throughout the entire system. This paper introduces a novel approach in aspect-driven information systems enabling automated extraction of business documentation and its transformation to various perspectives allowing domain experts to acquire needed and up-to-date information and knowledge. Moreover, our approach makes it possible to transform system business rules into a formal language description verifiable by checkers validating the feasibility of business operations. We demonstrate the approach in a case study indicating its benefits.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

ACM SIGAPP Applied Computing Review

ISSN

1559-6915

e-ISSN

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Svazek periodika

16

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

5-13

Kód UT WoS článku

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EID výsledku v databázi Scopus

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