Ontology-Based Source Code Retrieval Model To Support Program Comprehension

Identifying the parts of source code corresponding to a specific functionality is one of the most common activities undertaken by software maintainers while performing maintenance tasks. This task is a key challenge to them since they need to comprehend a software system in advance. Various techniqu...

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Bibliographic Details
Main Author:	Kadar, Rozita
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/55621/1/24%20Pages%20from%20RozitaKadar.pdf
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id	my-usm-ep.55621
record_format	uketd_dc
spelling	my-usm-ep.556212022-11-11T03:09:09Z Ontology-Based Source Code Retrieval Model To Support Program Comprehension 2019-11 Kadar, Rozita QA75.5-76.95 Electronic computers. Computer science Identifying the parts of source code corresponding to a specific functionality is one of the most common activities undertaken by software maintainers while performing maintenance tasks. This task is a key challenge to them since they need to comprehend a software system in advance. Various techniques have been proposed to help software maintainers to reduce their effort in finding location of source code concern. Concept location is one of the techniques that able to provide a solution to the problem. The most common technique to support concept location is text retrieval. Therefore, this study focuses on the use of source code for text retrieval technique in identifying relevant location to be maintained. The contents of data source that use as an information in source code retrieval process is one of elements that able to improve the performance of the technique. 2019-11 Thesis http://eprints.usm.my/55621/ http://eprints.usm.my/55621/1/24%20Pages%20from%20RozitaKadar.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Kadar, Rozita Ontology-Based Source Code Retrieval Model To Support Program Comprehension
description	Identifying the parts of source code corresponding to a specific functionality is one of the most common activities undertaken by software maintainers while performing maintenance tasks. This task is a key challenge to them since they need to comprehend a software system in advance. Various techniques have been proposed to help software maintainers to reduce their effort in finding location of source code concern. Concept location is one of the techniques that able to provide a solution to the problem. The most common technique to support concept location is text retrieval. Therefore, this study focuses on the use of source code for text retrieval technique in identifying relevant location to be maintained. The contents of data source that use as an information in source code retrieval process is one of elements that able to improve the performance of the technique.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kadar, Rozita
author_facet	Kadar, Rozita
author_sort	Kadar, Rozita
title	Ontology-Based Source Code Retrieval Model To Support Program Comprehension
title_short	Ontology-Based Source Code Retrieval Model To Support Program Comprehension
title_full	Ontology-Based Source Code Retrieval Model To Support Program Comprehension
title_fullStr	Ontology-Based Source Code Retrieval Model To Support Program Comprehension
title_full_unstemmed	Ontology-Based Source Code Retrieval Model To Support Program Comprehension
title_sort	ontology-based source code retrieval model to support program comprehension
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2019
url	http://eprints.usm.my/55621/1/24%20Pages%20from%20RozitaKadar.pdf
_version_	1776101100780257280

Ontology-Based Source Code Retrieval Model To Support Program Comprehension

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