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Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation

Several challenges and problems of developing, using and maintaining object-oriented application frameworks have been identified. It was discovered that companies attempting to build or use large-scale reusable framework often fail unless they recognize and resolve challenges such as development eff...

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Main Authors:	Jani H.M., Peck L.S.
Other Authors:	13609136000
Format:	Conference Paper
Published:	2023
Subjects:	Case-based reasoning Framework documentation Learning curve Object-oriented application framework Rule-based reasoning Computer simulation Computer software reusability Logic programming Object oriented programming Problem solving Program documentation Learning systems
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id	my.uniten.dspace-29938
record_format	dspace
spelling	my.uniten.dspace-299382024-04-17T10:44:49Z Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation Jani H.M. Peck L.S. 13609136000 7601407331 Case-based reasoning Framework documentation Learning curve Object-oriented application framework Rule-based reasoning Computer simulation Computer software reusability Logic programming Object oriented programming Problem solving Program documentation Case-based reasoning Framework documentation Learning curve Object-oriented application framework Learning systems Several challenges and problems of developing, using and maintaining object-oriented application frameworks have been identified. It was discovered that companies attempting to build or use large-scale reusable framework often fail unless they recognize and resolve challenges such as development effort, learning curve, integratability, maintainability, validation, defect removal, efficiency, and lack of standards. Framework documentation plays a major role in facing the above challenges. It directly affects the learning curve, maintainability, and defect removal aspects of the application frameworks. We have studied various documenting approaches and concluded that the current approaches are not very effective in overcoming the above challenges, especially on the efficiency problem. So, in this paper we are going to apply machine learning using case-based reasoning (CBR) and rule-based reasoning (RBR) to framework documentation. We will come up with a documentation architecture that combines both techniques in order to come up with improved framework documentation. � 2005 IEEE. Final 2023-12-28T08:58:22Z 2023-12-28T08:58:22Z 2005 Conference Paper 10.1109/ICITA.2005.74 2-s2.0-33646765258 https://www.scopus.com/inward/record.uri?eid=2-s2.0-33646765258&doi=10.1109%2fICITA.2005.74&partnerID=40&md5=c4da59f8c7c85417d68a5f2ef89f7cab https://irepository.uniten.edu.my/handle/123456789/29938 I 1488769 52 57 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Case-based reasoning Framework documentation Learning curve Object-oriented application framework Rule-based reasoning Computer simulation Computer software reusability Logic programming Object oriented programming Problem solving Program documentation Case-based reasoning Framework documentation Learning curve Object-oriented application framework Learning systems
spellingShingle	Case-based reasoning Framework documentation Learning curve Object-oriented application framework Rule-based reasoning Computer simulation Computer software reusability Logic programming Object oriented programming Problem solving Program documentation Case-based reasoning Framework documentation Learning curve Object-oriented application framework Learning systems Jani H.M. Peck L.S. Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
description	Several challenges and problems of developing, using and maintaining object-oriented application frameworks have been identified. It was discovered that companies attempting to build or use large-scale reusable framework often fail unless they recognize and resolve challenges such as development effort, learning curve, integratability, maintainability, validation, defect removal, efficiency, and lack of standards. Framework documentation plays a major role in facing the above challenges. It directly affects the learning curve, maintainability, and defect removal aspects of the application frameworks. We have studied various documenting approaches and concluded that the current approaches are not very effective in overcoming the above challenges, especially on the efficiency problem. So, in this paper we are going to apply machine learning using case-based reasoning (CBR) and rule-based reasoning (RBR) to framework documentation. We will come up with a documentation architecture that combines both techniques in order to come up with improved framework documentation. � 2005 IEEE.
author2	13609136000
author_facet	13609136000 Jani H.M. Peck L.S.
format	Conference Paper
author	Jani H.M. Peck L.S.
author_sort	Jani H.M.
title	Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
title_short	Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
title_full	Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
title_fullStr	Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
title_full_unstemmed	Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation
title_sort	applying machine learning using case-based reasoning (cbr) and rule-based reasoning (rbr) approaches to object-oriented application framework documentation
publishDate	2023
_version_	1806424109833256960
score	13.222552

Applying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentation

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