Web Services-based Report Generation System from Big Data in the Manufacturing Industry based on Agile Software Development

Plueksaporn Kattiyawong, Sakchai Tangprasert

Abstract

In the manufacturing industry, there are many information technology (IT) systems and machines connected to different databases with complex big data. In this study, the web service system is developed by using different programming languages consisting of C#, Javascript, HTML, CSS, Ext JS and structured query language (SQL). In addition to these programming languages, model view controller (MVC), a software design pattern is also used for developing a database interface. The development of this system allows the web service system to search for reports that meet the user needs and also has the user interface (UI) for convenience and speed. In this study, agile software development method is used in accordance with scrum framework, which consist of 4 steps: 1) product backlog creation, 2) sprint backlog creation, 3) sprint or the system development and testing and test case writing and 4) daily scrum. Sprint review is held to report the results of unit test, functional test, integration test and user acceptance test (UAT). This sprint review enables the development of an appropriate and comprehensive system and results in collaboration and understanding among stakeholders, including technology adoption among users.

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Paper Citation


in Harvard Style

Kattiyawong P. and Tangprasert S. (2020). Web Services-based Report Generation System from Big Data in the Manufacturing Industry based on Agile Software Development.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 226-232. DOI: 10.5220/0009459102260232


in Bibtex Style

@conference{iceis20,
author={Plueksaporn Kattiyawong and Sakchai Tangprasert},
title={Web Services-based Report Generation System from Big Data in the Manufacturing Industry based on Agile Software Development},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={226-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009459102260232},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Web Services-based Report Generation System from Big Data in the Manufacturing Industry based on Agile Software Development
SN - 978-989-758-423-7
AU - Kattiyawong P.
AU - Tangprasert S.
PY - 2020
SP - 226
EP - 232
DO - 10.5220/0009459102260232