A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control

CONFLICT OF INTEREST: NONE DECLARED Defect tracking systems play an important role in the software development organizations as they can store historical information about defects. There are many research in defect tracking models and systems to enhance their capabilities to be more specifically tra...

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Detalles Bibliográficos
Autores principales: Sultan, Torky, Khedr, Ayman E., Sayed, Mostafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AVICENA, d.o.o., Sarajevo 2013
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766546/
https://www.ncbi.nlm.nih.gov/pubmed/24039334
http://dx.doi.org/10.5455/aim.2013.21.103-108
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author Sultan, Torky
Khedr, Ayman E.
Sayed, Mostafa
author_facet Sultan, Torky
Khedr, Ayman E.
Sayed, Mostafa
author_sort Sultan, Torky
collection PubMed
description CONFLICT OF INTEREST: NONE DECLARED Defect tracking systems play an important role in the software development organizations as they can store historical information about defects. There are many research in defect tracking models and systems to enhance their capabilities to be more specifically tracking, and were adopted with new technology. Furthermore, there are different studies in classifying bugs in a step by step method to have clear perception and applicable method in detecting such bugs. This paper shows a new proposed defect tracking model for the purpose of classifying the inserted defects reports in a step by step method for more enhancement of the software quality.
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spelling pubmed-37665462013-09-13 A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control Sultan, Torky Khedr, Ayman E. Sayed, Mostafa Acta Inform Med Original Paper CONFLICT OF INTEREST: NONE DECLARED Defect tracking systems play an important role in the software development organizations as they can store historical information about defects. There are many research in defect tracking models and systems to enhance their capabilities to be more specifically tracking, and were adopted with new technology. Furthermore, there are different studies in classifying bugs in a step by step method to have clear perception and applicable method in detecting such bugs. This paper shows a new proposed defect tracking model for the purpose of classifying the inserted defects reports in a step by step method for more enhancement of the software quality. AVICENA, d.o.o., Sarajevo 2013-06 2013 /pmc/articles/PMC3766546/ /pubmed/24039334 http://dx.doi.org/10.5455/aim.2013.21.103-108 Text en © 2013 AVICENA http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Sultan, Torky
Khedr, Ayman E.
Sayed, Mostafa
A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title_full A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title_fullStr A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title_full_unstemmed A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title_short A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control
title_sort proposed defect tracking model for classifying the inserted defect reports to enhance software quality control
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766546/
https://www.ncbi.nlm.nih.gov/pubmed/24039334
http://dx.doi.org/10.5455/aim.2013.21.103-108
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