loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: André Menolli 1 ; 2 ; Luan de Souza Melo 3 ; Maurício Massaru Arimoto 2 and Andreia Malucelli 3

Affiliations: 1 Postgraduate Program in Computer Science, State University of Londrina (UEL), Brazil ; 2 University of Northen Paraná (UENP), Brazil ; 3 Postgraduate Program in Computer Science, Pontificia Universidade Católica do Paraná (PUCPR) , Brazil

Keyword(s): Model-driven Development, Aspect-oriented Software Development, Software Quality, Experimentation.

Abstract: Over the years innovative approaches in software development have been proposed. Among the main approaches, we can highlight aspect-oriented software development. However, applying aspect-oriented software development is not simple, but may be facilitated by the model-driven development, mainly because it is possible to build models to drive consolidated aspect solutions. In this context, we analyzed the impact of aspect-oriented solutions created from a model-driven approach. To this end, a model-driven approach to create aspect-oriented code was proposed and an experiment focusing on data persistence was conducted. From data gathering, we empirically discuss the impact of the generated solutions compared to oriented-object solutions. Some code metrics were analyzed using quantitative analysis and the results show that the approach may help to reuse aspect-oriented solutions and improve the code quality and productivity.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.190.153.77

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Menolli, A.; Melo, L.; Arimoto, M. and Malucelli, A. (2021). An Empirical Study on the Impact of Aspect-oriented Model-driven Code Generation. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 275-282. DOI: 10.5220/0010442802750282

@conference{iceis21,
author={André Menolli. and Luan de Souza Melo. and Maurício Massaru Arimoto. and Andreia Malucelli.},
title={An Empirical Study on the Impact of Aspect-oriented Model-driven Code Generation},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={275-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010442802750282},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - An Empirical Study on the Impact of Aspect-oriented Model-driven Code Generation
SN - 978-989-758-509-8
IS - 2184-4992
AU - Menolli, A.
AU - Melo, L.
AU - Arimoto, M.
AU - Malucelli, A.
PY - 2021
SP - 275
EP - 282
DO - 10.5220/0010442802750282
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic