A Coding-Free Software Framework for Developing Lightweight Web Data Management Systems

Author:

Yang CanORCID,Pan Shiying,Li Runmin,Liu Yu,Peng Lizhang

Abstract

Increasingly more enterprises are intending to deploy data management systems in the cloud. However, the complexity of software development significantly increases both time and learning costs of data management system development. In this paper, we investigate the coding-free construction of a data management system based on Software-as-a-Service (SaaS) architecture, in which a practical application platform and a set of construction methods are proposed. Specifically, by extracting the common features of data management systems, we design a universal web platform to quickly generate and publish customized system instances. Then, we propose a method to develop a lightweight data management system using a specific requirements table in a spreadsheet. The corresponding platform maps the requirements table into a system instance by parsing the table model and implementing the objective system in the running stage. Finally, we implement the proposed framework and deploy it on the web. The empirical results demonstrate the feasibility and availability of the coding-free method for developing lightweight web data management systems.

Funder

National Natural Science Foundation of China

Guangzhou Science and Technology Program key projects

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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1. Methods for Application Development by Non-Programmers: A Systematic Literature Review;2023 The 5th World Symposium on Software Engineering (WSSE);2023-09-22

2. Scalable Resource Provisioning For Multi-tenant SaaS With Cloud Functions;2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT);2022-08

3. The Model of Cross-Tenant Information Access Control in SAAS Cloud;2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT);2022-08

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