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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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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
http://eprints.usm.my/55621/
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spelling my.usm.eprints.55621 http://eprints.usm.my/55621/ Ontology-Based Source Code Retrieval Model To Support Program Comprehension 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 NonPeerReviewed application/pdf en http://eprints.usm.my/55621/1/24%20Pages%20from%20RozitaKadar.pdf Kadar, Rozita (2019) Ontology-Based Source Code Retrieval Model To Support Program Comprehension. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2019
url http://eprints.usm.my/55621/1/24%20Pages%20from%20RozitaKadar.pdf
http://eprints.usm.my/55621/
_version_ 1751537251747102720
score 13.222552

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