Automated Extraction of Business Documentation in Enterprise Information Systems

Result code in 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>

Result on the web

<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

—

Result language

angličtina

Original language name

Automated Extraction of Business Documentation in Enterprise Information Systems

Original language description

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.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

ACM SIGAPP Applied Computing Review

ISSN

1559-6915

e-ISSN

—

Volume of the periodical

16

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

5-13

UT code for WoS article

—

EID of the result in the Scopus database

—