Repository logo
 
Publication

Automation of enterprise architecture discovery based on event mining from API Gateway logs: state of the art

2021Conference object Restricted access
Simple item page
dc.contributor.authorPinheiro, Carlos Roberto
dc.contributor.authorGuerreiro, Sergio
dc.contributor.authorSão Mamede, Henrique
dc.date.accessioned2023-06-19T14:20:33Z
dc.date.available2023-06-19T14:20:33Z
dc.date.issued2021
dc.description.abstractEnterprise Architecture (EA) is defined as a coherent set of principles, methods, and models used to design an organizational structure, containing business processes, information systems (IS), IT infrastructure, and other artefacts aiming the alignment of business, IT, and other organizational dimensions with the strategic objectives of a company. One of the most critical in Enterprise Architecture Management (EAM) is creating EA models representing different viewpoints for managing various company concerns on its IT landscape. At the same time, the speed of changes pressures EAM to automate modeling activities. In this context, architects need adequate tools to discover the current state of EA, enabling analyzing improvement opportunities and support architectural decisions making in a fast and agile way with more precision about the real conditions. EA Mining is the use of data mining techniques to automate the creation or update of EA models with data collected from different data sources. This work presents an exploratory review of the literature to gather the state of art on EA mining models from applications logs pursuing to automate the architecture modeling. Through this literature review, we identified the main aspects, techniques, and challenges of EA modeling automation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/CBI52690.2021.10062pt_PT
dc.identifier.eissn2378-1971
dc.identifier.isbn978-1-6654-2069-3
dc.identifier.issn2378-1963
dc.identifier.urihttp://hdl.handle.net/10400.2/14086
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectEnterprise architecture managementpt_PT
dc.subjectEnterprise architecturept_PT
dc.subjectArchitecture miningpt_PT
dc.subjectAutomatic architecture modelingpt_PT
dc.subjectPredictive analysispt_PT
dc.titleAutomation of enterprise architecture discovery based on event mining from API Gateway logs: state of the artpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage124pt_PT
oaire.citation.startPage117pt_PT
oaire.citation.titleIEEE 23Rd Conference on Business Informatics (CBI)pt_PT
person.familyNameSão Mamede
person.givenNameHenrique
person.identifierR-002-0P0
person.identifier.ciencia-id7F17-9DAD-C007
person.identifier.orcid0000-0002-5383-9884
person.identifier.scopus-author-id36458782500
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication86fd6131-eed5-42be-9639-9466ddf680ab
relation.isAuthorOfPublication.latestForDiscovery86fd6131-eed5-42be-9639-9466ddf680ab

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Automation_Enterprise_Architecture_Discovery_based_on_Event_Mining_from_API_Gateway.pdf
Size:
438.19 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.97 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Informática e Sistemas de Informação | Comunicações em congressos, conferências, seminários/Communications in congresses...