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

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dc.citedby2
dc.contributor.authorJani H.M.en_US
dc.contributor.authorPeck L.S.en_US
dc.contributor.authorid13609136000en_US
dc.contributor.authorid7601407331en_US
dc.date.accessioned2023-12-28T08:58:22Z
dc.date.available2023-12-28T08:58:22Z
dc.date.issued2005
dc.description.abstractSeveral 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1488769
dc.identifier.doi10.1109/ICITA.2005.74
dc.identifier.epage57
dc.identifier.scopus2-s2.0-33646765258
dc.identifier.spage52
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33646765258&doi=10.1109%2fICITA.2005.74&partnerID=40&md5=c4da59f8c7c85417d68a5f2ef89f7cab
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29938
dc.identifier.volumeI
dc.pagecount5
dc.sourceScopus
dc.sourcetitleProceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005
dc.subjectCase-based reasoning
dc.subjectFramework documentation
dc.subjectLearning curve
dc.subjectObject-oriented application framework
dc.subjectRule-based reasoning
dc.subjectComputer simulation
dc.subjectComputer software reusability
dc.subjectLogic programming
dc.subjectObject oriented programming
dc.subjectProblem solving
dc.subjectProgram documentation
dc.subjectCase-based reasoning
dc.subjectFramework documentation
dc.subjectLearning curve
dc.subjectObject-oriented application framework
dc.subjectLearning systems
dc.titleApplying machine learning using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) approaches to object-oriented application framework documentationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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