Discovery of association rules between factors affecting user satisfaction in software project by FP-GROWTH Algorithm

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dc.contributor.authorKaewbanjong, Katawut
dc.contributor.authorIntakosum, Sarun
dc.date.accessioned2026-08-06T10:32:40Z
dc.date.available2026-08-06T10:32:40Z
dc.date.issued2021-05-19
dc.description.abstractThe main objective of this work was to find the association rules between factors affecting user satisfaction in software project by using an association rule discovery technique. Data from 191 software projects were collected and association rules between 15 Selected factors were discovered by FP-growth algorithm. Primarily, 281 association rules were discovered. Rules that were not directly related to user satisfaction were filtered out by simple criteria. In the end, 11 final association rules that passed those criteria were obtained with an average confidence value of 65.30%. These rules can incorporated in the planning and administration of a software project to gain utmost user satisfaction
dc.identifier.citationEcti Con 2021 2021 18th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Smart Electrical System and Technology Proceedings, 116-122, 2021
dc.identifier.doi10.1109/ECTI-CON51831.2021.9454705
dc.identifier.other2-s2.0-85112840526
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12050
dc.sourceEcti Con 2021 2021 18th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Smart Electrical System and Technology Proceedings
dc.subjectAssociation rule
dc.subjectFP-Growth algorithm
dc.subjectSoftware project
dc.subjectUser satisfaction
dc.titleDiscovery of association rules between factors affecting user satisfaction in software project by FP-GROWTH Algorithm
dc.typeConference Paper

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