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Automatically Detecting Relevant Technical Teams for Requested Issues in Issue Tracking Systems by Using Semantic Web Technology

Automatically Detecting Relevant Technical Teams for Requested Issues in Issue Tracking Systems by Using Semantic Web Technology

ISSN-2223-4985
Journal from gdlhub / 2012-06-22 15:26:13
Oleh : Mohamed Kholief , Yasser Fouad , Mohamed Hassan , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-22, dengan 1 file

Keyword : issue tracking systems; semantic web; ontology development; automatic team detection
Url : http://esjournals.org/journaloftechnology/archive/vol1no5/vol1no5_4.pdf
Sumber pengambilan dokumen : Internet



This paper describes the outcome research project – Automatic Team Detector (ATD) system - that has been carried out as

a result of implementing the semantic web technology in issue tracking systems (ITSs) to enhance their functionality,

performance and qualification. An automatic team detector (ATD) semantic web based application is developed to

automatically assign - without any human support - the requested issues created in Issue Tracking System (ITS) to their

appropriate technical support teams to handle and fix these issues. By using semantic web technology, semantic based

tracking systems can be enhanced and improved. Hence, the main goal of the developed system - Automating Team

Detector (ATD) semantic web based application - is to give the answers for the following questions:

To which team must the created issue in ITS be assigned? In the other words, who is going to be responsible for handing

the created issue in ITS and doing the work on it until it is fixed?

Deskripsi Alternatif :



This paper describes the outcome research project – Automatic Team Detector (ATD) system - that has been carried out as

a result of implementing the semantic web technology in issue tracking systems (ITSs) to enhance their functionality,

performance and qualification. An automatic team detector (ATD) semantic web based application is developed to

automatically assign - without any human support - the requested issues created in Issue Tracking System (ITS) to their

appropriate technical support teams to handle and fix these issues. By using semantic web technology, semantic based

tracking systems can be enhanced and improved. Hence, the main goal of the developed system - Automating Team

Detector (ATD) semantic web based application - is to give the answers for the following questions:

To which team must the created issue in ITS be assigned? In the other words, who is going to be responsible for handing

the created issue in ITS and doing the work on it until it is fixed?

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiInternational Journal of Information and Communication Technology Research
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
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Fax0741-35093
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E-mail CKOelibrarystikom@gmail.com

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