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用于软件单元集成的外部与数据松耦合:一项系统映射研究。

The external and data loose coupling for the integration of software units: a systematic mapping study.

作者信息

Ruiz Ceniceros Juan Antonio, Aguilar-Calderón José Alfonso, Espinosa Roberto, Tripp-Barba Carolina

机构信息

Posgrado en Ciencias de la Información, Universidad Autónoma de Sinaloa, Culiacán, Sinaloa, Mexico.

Cuerpo Académico Tecnología Educativa I+D+i, Facultad de Informática Mazatlán, Universidad Autónoma de Sinaloa, Mazatlán, Sinaloa, Mexico.

出版信息

PeerJ Comput Sci. 2021 Dec 7;7:e796. doi: 10.7717/peerj-cs.796. eCollection 2021.

DOI:10.7717/peerj-cs.796
PMID:34977352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8670366/
Abstract

Integration of legacy and third-party software systems is almost mandatory for enterprises. This fact is based mainly on exchanging information with other entities (banks, suppliers, customers, partners, .). That is why it is necessary to guarantee the integrity of the data and keep these integration's up-to-date due to the different global business changes is facing today to reduce the risk in transactions and avoid losing information. This article presents a Systematic Mapping Study (SMS) about integrating software units at the component level. Systematic mapping is a methodology that has been widely used in medical research and has recently begun to be used in Software Engineering to classify and structure the research results that have been published to know the advances in a topic and identify research gaps. This work aims to organize the existing evidence in the current scientific literature on integrating software units for external and data loose coupling. This information can establish lines of research and work that must be addressed to improve the integration of low-level systems.

摘要

对于企业来说,整合遗留软件系统和第三方软件系统几乎是必不可少的。这一事实主要基于与其他实体(银行、供应商、客户、合作伙伴等)交换信息。这就是为什么有必要保证数据的完整性,并随着当今全球业务面临的不同变化不断更新这些整合,以降低交易风险并避免信息丢失。本文介绍了一项关于在组件级别集成软件单元的系统映射研究(SMS)。系统映射是一种在医学研究中广泛使用的方法,最近开始在软件工程中用于对已发表的研究结果进行分类和结构化,以了解某个主题的进展并识别研究差距。这项工作旨在整理当前科学文献中关于为外部和数据松耦合集成软件单元的现有证据。这些信息可以确定为改进低级系统集成而必须开展的研究方向和工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/25d55bde76b6/peerj-cs-07-796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/3deef4f4b0b0/peerj-cs-07-796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/e47fa1d4f0e3/peerj-cs-07-796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/5703349449ca/peerj-cs-07-796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/9f575b48f83c/peerj-cs-07-796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/cf4ae532d83b/peerj-cs-07-796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/ab6680234d88/peerj-cs-07-796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/902e4e6f735a/peerj-cs-07-796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/25d55bde76b6/peerj-cs-07-796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/3deef4f4b0b0/peerj-cs-07-796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/e47fa1d4f0e3/peerj-cs-07-796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/5703349449ca/peerj-cs-07-796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/9f575b48f83c/peerj-cs-07-796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/cf4ae532d83b/peerj-cs-07-796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/ab6680234d88/peerj-cs-07-796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/902e4e6f735a/peerj-cs-07-796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ae8/8670366/25d55bde76b6/peerj-cs-07-796-g008.jpg

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