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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

Object-oriented application framework is one of the most important implementations of object-oriented software engineering. Normally, a user takes several months of learning in order to become highly productive in using a specific object-oriented application framework. Without proper documentation,...

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Main Authors:	Mat Jani H., Lee S.P.
Other Authors:	13609136000
Format:	Conference paper
Published:	Springer Verlag 2023
Subjects:	Framework documentation Genetic algorithm (GA) Knuth-Morris-Pratt (KMP) pattern matching algorithm Applications Education Genetic algorithms Information systems Learning systems Object oriented programming Pattern matching Software engineering Application frameworks Case base Case-based learning Machine-learning Nearest neighbor algorithms Object-oriented Object-oriented software engineerings Search process Learning algorithms
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id	my.uniten.dspace-30891
record_format	dspace
spelling	my.uniten.dspace-308912023-12-29T15:55:21Z Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation Mat Jani H. Lee S.P. 13609136000 55664303000 Framework documentation Genetic algorithm (GA) Knuth-Morris-Pratt (KMP) pattern matching algorithm Applications Education Genetic algorithms Information systems Learning systems Object oriented programming Pattern matching Software engineering Application frameworks Case base Case-based learning Framework documentation Knuth-Morris-Pratt (KMP) pattern matching algorithm Machine-learning Nearest neighbor algorithms Object-oriented Object-oriented software engineerings Search process Learning algorithms Object-oriented application framework is one of the most important implementations of object-oriented software engineering. Normally, a user takes several months of learning in order to become highly productive in using a specific object-oriented application framework. Without proper documentation, frameworks are not very usable to framework users. Currently available framework documentation approaches are not very effective for new framework users, and this scenario tends to discourage new users in using frameworks. The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. GA assists in optimizing the search process and performs machine learning. Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. A new case is retained in the case base for future retrievals. A framework user is allowed to select from a list of features provided by the framework that he or she is interested in learning, and the system will give an example of application related to the selected features. This paper concludes with a prototype that implements the intelligent framework documentation approach. � 2009 Springer Berlin Heidelberg. Final 2023-12-29T07:55:21Z 2023-12-29T07:55:21Z 2009 Conference paper 10.1007/978-3-642-01112-2_21 2-s2.0-65449152946 https://www.scopus.com/inward/record.uri?eid=2-s2.0-65449152946&doi=10.1007%2f978-3-642-01112-2_21&partnerID=40&md5=f38fceb4cc60259c194a70abc2951e83 https://irepository.uniten.edu.my/handle/123456789/30891 20 LNBIP 202 213 Springer Verlag 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	Framework documentation Genetic algorithm (GA) Knuth-Morris-Pratt (KMP) pattern matching algorithm Applications Education Genetic algorithms Information systems Learning systems Object oriented programming Pattern matching Software engineering Application frameworks Case base Case-based learning Framework documentation Knuth-Morris-Pratt (KMP) pattern matching algorithm Machine-learning Nearest neighbor algorithms Object-oriented Object-oriented software engineerings Search process Learning algorithms
spellingShingle	Framework documentation Genetic algorithm (GA) Knuth-Morris-Pratt (KMP) pattern matching algorithm Applications Education Genetic algorithms Information systems Learning systems Object oriented programming Pattern matching Software engineering Application frameworks Case base Case-based learning Framework documentation Knuth-Morris-Pratt (KMP) pattern matching algorithm Machine-learning Nearest neighbor algorithms Object-oriented Object-oriented software engineerings Search process Learning algorithms Mat Jani H. Lee S.P. Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
description	Object-oriented application framework is one of the most important implementations of object-oriented software engineering. Normally, a user takes several months of learning in order to become highly productive in using a specific object-oriented application framework. Without proper documentation, frameworks are not very usable to framework users. Currently available framework documentation approaches are not very effective for new framework users, and this scenario tends to discourage new users in using frameworks. The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. GA assists in optimizing the search process and performs machine learning. Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. A new case is retained in the case base for future retrievals. A framework user is allowed to select from a list of features provided by the framework that he or she is interested in learning, and the system will give an example of application related to the selected features. This paper concludes with a prototype that implements the intelligent framework documentation approach. � 2009 Springer Berlin Heidelberg.
author2	13609136000
author_facet	13609136000 Mat Jani H. Lee S.P.
format	Conference paper
author	Mat Jani H. Lee S.P.
author_sort	Mat Jani H.
title	Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
title_short	Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
title_full	Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
title_fullStr	Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
title_full_unstemmed	Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
title_sort	using ga and kmp algorithm to implement an approach to learning through intelligent framework documentation
publisher	Springer Verlag
publishDate	2023
_version_	1806428038083117056
score	13.222552

Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

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