Eliciting and modeling the requirements for an online data archival management system
Information is an integral part of any person�s or organisation�s life as important decisions are made based on them. As such there is a need to properly store/achieve, manage and easily retrieve important and sensitive information when necessary. However, the use of papers and manually sorting, sto...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Science and Engineering Research Support Society
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-25510 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-255102023-05-29T16:10:20Z Eliciting and modeling the requirements for an online data archival management system Mkpojiogu E.O.C. Efeakusu G. Hussain A. Hashim W. 56946874700 57216612377 56212649500 11440260100 Information is an integral part of any person�s or organisation�s life as important decisions are made based on them. As such there is a need to properly store/achieve, manage and easily retrieve important and sensitive information when necessary. However, the use of papers and manually sorting, storing, searching, retrieving and moving files is tedious, time-consuming and not very efficient. The purpose of this study is to elicit and model requirements for a data archival management system to be used in Veritas University, Abuja. The system when implemented will solve a good number of the complications involved in manually archiving and managing files in the institution. The requirements elicitation was carried out via interviews while the requirements modelling were done using UML. � 2020 SERSC. Final 2023-05-29T08:10:20Z 2023-05-29T08:10:20Z 2020 Article 2-s2.0-85084042533 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084042533&partnerID=40&md5=1529f678a543bc08918375960b259263 https://irepository.uniten.edu.my/handle/123456789/25510 29 6 296 306 Science and Engineering Research Support Society Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Information is an integral part of any person�s or organisation�s life as important decisions are made based on them. As such there is a need to properly store/achieve, manage and easily retrieve important and sensitive information when necessary. However, the use of papers and manually sorting, storing, searching, retrieving and moving files is tedious, time-consuming and not very efficient. The purpose of this study is to elicit and model requirements for a data archival management system to be used in Veritas University, Abuja. The system when implemented will solve a good number of the complications involved in manually archiving and managing files in the institution. The requirements elicitation was carried out via interviews while the requirements modelling were done using UML. � 2020 SERSC. |
author2 |
56946874700 |
author_facet |
56946874700 Mkpojiogu E.O.C. Efeakusu G. Hussain A. Hashim W. |
format |
Article |
author |
Mkpojiogu E.O.C. Efeakusu G. Hussain A. Hashim W. |
spellingShingle |
Mkpojiogu E.O.C. Efeakusu G. Hussain A. Hashim W. Eliciting and modeling the requirements for an online data archival management system |
author_sort |
Mkpojiogu E.O.C. |
title |
Eliciting and modeling the requirements for an online data archival management system |
title_short |
Eliciting and modeling the requirements for an online data archival management system |
title_full |
Eliciting and modeling the requirements for an online data archival management system |
title_fullStr |
Eliciting and modeling the requirements for an online data archival management system |
title_full_unstemmed |
Eliciting and modeling the requirements for an online data archival management system |
title_sort |
eliciting and modeling the requirements for an online data archival management system |
publisher |
Science and Engineering Research Support Society |
publishDate |
2023 |
_version_ |
1806424038969442304 |
score |
13.214268 |