Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes

Roy Kakkenberg; Satrio Adi Rukmono; Michel R.V. Chaudron; Wim Gerholt; Miguel Pinto; Claudio Ribeiro de Oliveira

doi:10.1145/3652620.3688331

Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes

Roy Kakkenberg
, Satrio Adi Rukmono
, Michel R.V. Chaudron
, Wim Gerholt
, Miguel Pinto
, Claudio Ribeiro de Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

101 Downloads (Pure)

Abstract

This paper introduces Arvisan, an interactive tool for visualization and analysis of low-code architecture landscapes. Arvisan improves upon existing low-code architecture assessment tools, particularly Discovery, which is used to verify the technical integrity and adherence to architectural rules in OutSystems applications. Arvisan offers overviews as a sliding window across abstraction levels, highly interactive visualization, and a variety of quality analyses. Arvisan uses a graph-based visualisation approach to architecture analysis. The information on the components of OutSystems is modelled as a labelled property graph. The tool is applied to an industrial-scale application landscape. Arvisan provides several advantages over Discovery: it offers a unified overview, efficient navigation, overview on different levels of abstraction, and the ability to detect indirect dependency cycles. The tool was evaluated with the OutSystems low-code platform and received positive feedback from developers. Arvisan contributes to the arsenal of tools for analysing architectures of low-code systems.

Original language	English
Title of host publication	MODELS Companion '24
Subtitle of host publication	Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Pages	848-855
Number of pages	8
ISBN (Electronic)	979-8-4007-0622-6
DOIs	https://doi.org/10.1145/3652620.3688331
Publication status	Published - 31 Oct 2024
Event	27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024 - Linz, Austria Duration: 22 Sept 2024 → 27 Sept 2024

Conference

Conference	27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024
Country/Territory	Austria
City	Linz
Period	22/09/24 → 27/09/24

Keywords

low-code architecture analysis
low-code architecture visualisation
software architecture analysis
software architecture visualisation

Access to Document

10.1145/3652620.3688331

pdfFinal published version, 2.08 MBLicence: CC BY-NC-SA

Cite this

Kakkenberg, R., Rukmono, S. A., Chaudron, M. R. V., Gerholt, W., Pinto, M., & de Oliveira, C. R. (2024). Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes. In MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (pp. 848-855). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3652620.3688331

Kakkenberg, Roy ; Rukmono, Satrio Adi ; Chaudron, Michel R.V. et al. / Arvisan : an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes. MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. New York : Association for Computing Machinery, Inc., 2024. pp. 848-855

@inproceedings{e7bbb89239b14dc597510ec313db9717,

title = "Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes",

abstract = "This paper introduces Arvisan, an interactive tool for visualization and analysis of low-code architecture landscapes. Arvisan improves upon existing low-code architecture assessment tools, particularly Discovery, which is used to verify the technical integrity and adherence to architectural rules in OutSystems applications. Arvisan offers overviews as a sliding window across abstraction levels, highly interactive visualization, and a variety of quality analyses. Arvisan uses a graph-based visualisation approach to architecture analysis. The information on the components of OutSystems is modelled as a labelled property graph. The tool is applied to an industrial-scale application landscape. Arvisan provides several advantages over Discovery: it offers a unified overview, efficient navigation, overview on different levels of abstraction, and the ability to detect indirect dependency cycles. The tool was evaluated with the OutSystems low-code platform and received positive feedback from developers. Arvisan contributes to the arsenal of tools for analysing architectures of low-code systems.",

keywords = "low-code architecture analysis, low-code architecture visualisation, software architecture analysis, software architecture visualisation",

author = "Roy Kakkenberg and Rukmono, \{Satrio Adi\} and Chaudron, \{Michel R.V.\} and Wim Gerholt and Miguel Pinto and \{de Oliveira\}, \{Claudio Ribeiro\}",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024 ; Conference date: 22-09-2024 Through 27-09-2024",

year = "2024",

month = oct,

day = "31",

doi = "10.1145/3652620.3688331",

language = "English",

pages = "848--855",

booktitle = "MODELS Companion '24",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

}

Kakkenberg, R, Rukmono, SA, Chaudron, MRV, Gerholt, W, Pinto, M & de Oliveira, CR 2024, Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes. in MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. Association for Computing Machinery, Inc., New York, pp. 848-855, 27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024, Linz, Austria, 22/09/24. https://doi.org/10.1145/3652620.3688331

Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes. / Kakkenberg, Roy; Rukmono, Satrio Adi; Chaudron, Michel R.V. et al.
MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. New York: Association for Computing Machinery, Inc., 2024. p. 848-855.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Arvisan

T2 - 27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024

AU - Kakkenberg, Roy

AU - Rukmono, Satrio Adi

AU - Chaudron, Michel R.V.

AU - Gerholt, Wim

AU - Pinto, Miguel

AU - de Oliveira, Claudio Ribeiro

PY - 2024/10/31

Y1 - 2024/10/31

N2 - This paper introduces Arvisan, an interactive tool for visualization and analysis of low-code architecture landscapes. Arvisan improves upon existing low-code architecture assessment tools, particularly Discovery, which is used to verify the technical integrity and adherence to architectural rules in OutSystems applications. Arvisan offers overviews as a sliding window across abstraction levels, highly interactive visualization, and a variety of quality analyses. Arvisan uses a graph-based visualisation approach to architecture analysis. The information on the components of OutSystems is modelled as a labelled property graph. The tool is applied to an industrial-scale application landscape. Arvisan provides several advantages over Discovery: it offers a unified overview, efficient navigation, overview on different levels of abstraction, and the ability to detect indirect dependency cycles. The tool was evaluated with the OutSystems low-code platform and received positive feedback from developers. Arvisan contributes to the arsenal of tools for analysing architectures of low-code systems.

AB - This paper introduces Arvisan, an interactive tool for visualization and analysis of low-code architecture landscapes. Arvisan improves upon existing low-code architecture assessment tools, particularly Discovery, which is used to verify the technical integrity and adherence to architectural rules in OutSystems applications. Arvisan offers overviews as a sliding window across abstraction levels, highly interactive visualization, and a variety of quality analyses. Arvisan uses a graph-based visualisation approach to architecture analysis. The information on the components of OutSystems is modelled as a labelled property graph. The tool is applied to an industrial-scale application landscape. Arvisan provides several advantages over Discovery: it offers a unified overview, efficient navigation, overview on different levels of abstraction, and the ability to detect indirect dependency cycles. The tool was evaluated with the OutSystems low-code platform and received positive feedback from developers. Arvisan contributes to the arsenal of tools for analysing architectures of low-code systems.

KW - low-code architecture analysis

KW - low-code architecture visualisation

KW - software architecture analysis

KW - software architecture visualisation

UR - https://www.scopus.com/pages/publications/85212229879

U2 - 10.1145/3652620.3688331

DO - 10.1145/3652620.3688331

M3 - Conference contribution

AN - SCOPUS:85212229879

SP - 848

EP - 855

BT - MODELS Companion '24

PB - Association for Computing Machinery, Inc.

CY - New York

Y2 - 22 September 2024 through 27 September 2024

ER -

Kakkenberg R, Rukmono SA, Chaudron MRV, Gerholt W, Pinto M, de Oliveira CR. Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes. In MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. New York: Association for Computing Machinery, Inc. 2024. p. 848-855 doi: 10.1145/3652620.3688331

Arvisan: an Interactive Tool for Visualisation and Analysis of Low-Code Architecture Landscapes

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this