Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application
In this research, automation-testing approach is proposed to monitor the manufacturing web-based health application. Current monitoring system indicates that all components such as servers, applications, services, ports and URLs are not in critical condition, but operator on the production site coul...
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2014
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my.utem.eprints.141482021-06-22T13:02:42Z http://eprints.utem.edu.my/id/eprint/14148/ Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application Ayop, Zakiah Mustafa, Nuridawati Chang, Jonathan Wong, Boon Min Zainal Abidin, Zaheera Lim, Jie hui Anawar, Syarulnaziah In this research, automation-testing approach is proposed to monitor the manufacturing web-based health application. Current monitoring system indicates that all components such as servers, applications, services, ports and URLs are not in critical condition, but operator on the production site could not operate the manufacturing application. The proposed approach will monitor the standard operation in manufacturing web-based application and determine the health state of the whole production. Automated script is executed and response time is captured as the performance indicator. A web-based reporting will display response times mapped in different graphs. From the preliminary testing result, graphs are compared and analyze. Finally, the comparison result will determine the abnormalities of the manufacturing application. 2014-10-15 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14148/1/Automation-Testing_for_Monitoring_the_Network_Health_of_Manufacturing_Web_based_Application.pdf Ayop, Zakiah and Mustafa, Nuridawati and Chang, Jonathan and Wong, Boon Min and Zainal Abidin, Zaheera and Lim, Jie hui and Anawar, Syarulnaziah (2014) Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application. In: International Symposium on Research in Innovation and Sustainability 2014 (ISoRIS ’14), 15 and 16 October 2014, PPS UTeM . |
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In this research, automation-testing approach is proposed to monitor the manufacturing web-based health application. Current monitoring system indicates that all components such as servers, applications, services, ports and URLs are not in critical condition, but operator on the production site could not operate the manufacturing application. The proposed approach will monitor the standard operation in manufacturing web-based application and determine the health state of the whole production. Automated script is executed and response time is captured as the performance indicator. A web-based reporting will display response times mapped in different graphs. From the preliminary testing result, graphs are compared and analyze. Finally, the comparison result will determine the abnormalities of the manufacturing application. |
format |
Conference or Workshop Item |
author |
Ayop, Zakiah Mustafa, Nuridawati Chang, Jonathan Wong, Boon Min Zainal Abidin, Zaheera Lim, Jie hui Anawar, Syarulnaziah |
spellingShingle |
Ayop, Zakiah Mustafa, Nuridawati Chang, Jonathan Wong, Boon Min Zainal Abidin, Zaheera Lim, Jie hui Anawar, Syarulnaziah Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
author_facet |
Ayop, Zakiah Mustafa, Nuridawati Chang, Jonathan Wong, Boon Min Zainal Abidin, Zaheera Lim, Jie hui Anawar, Syarulnaziah |
author_sort |
Ayop, Zakiah |
title |
Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
title_short |
Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
title_full |
Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
title_fullStr |
Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
title_full_unstemmed |
Automation-Testing For Monitoring The Network Health Of Manufacturing Web-Based Application |
title_sort |
automation-testing for monitoring the network health of manufacturing web-based application |
publishDate |
2014 |
url |
http://eprints.utem.edu.my/id/eprint/14148/1/Automation-Testing_for_Monitoring_the_Network_Health_of_Manufacturing_Web_based_Application.pdf http://eprints.utem.edu.my/id/eprint/14148/ |
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1703963857295245312 |
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13.18916 |