JDAS: a software development framework for multidatabases

Summary Modern software development for services computing and cloud computing software systems is no longer based on a single database but on existing multidatabases and this convergence needs new software architecture and framework design. Most current popular frameworks are not designed for multi...

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Bibliographic Details
Published in:Software, practice & experience Vol. 48; no. 2; pp. 366 - 382
Main Authors: Xie, Guoqi, Chen, Yuekun, Liu, Yan, Fan, Chunnian, Li, Renfa, Li, Keqin
Format: Journal Article
Language:English
Published: Chichester, UK John Wiley & Sons, Ltd 01.02.2018
Wiley Subscription Services, Inc
Subjects:
Access control
Cloud computing
Configuration management
Design
design methods
development framework
Java
multidatabases
Object oriented programming
Object-oriented languages
Programming languages
Software
Software development
ISSN:0038-0644, 1097-024X
Online Access:Get full text
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Summary:Summary Modern software development for services computing and cloud computing software systems is no longer based on a single database but on existing multidatabases and this convergence needs new software architecture and framework design. Most current popular frameworks are not designed for multidatabases, and many practical problems in development arise. This study designs and implements a software development framework called Java data access service (JDAS) for multidatabases using the object‐oriented programming language Java. The JDAS framework solves related problems that arise when other frameworks are employed in practical software development with multidatabases by presenting and introducing design methods. JDAS consists of the modules of the database , object relational mapping, connection pools management, configuration management, data access service, and inversion of control. Results and case study reveal that the JDAS framework effectively reduces development complexity and improves development efficiency of the software systems with multidatabases. Copyright © 2017 John Wiley & Sons, Ltd.
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ISSN:0038-0644
1097-024X
DOI:10.1002/spe.2472