Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57104
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dc.contributor.authorRintaspon Bhannaraien_US
dc.contributor.authorChartchai Doungsaarden_US
dc.date.accessioned2018-09-05T03:35:05Z-
dc.date.available2018-09-05T03:35:05Z-
dc.date.issued2017-02-13en_US
dc.identifier.other2-s2.0-85016184563en_US
dc.identifier.other10.1109/ICSITech.2016.7852636en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85016184563&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57104-
dc.description.abstract© 2016 IEEE. Agile methodology is a famous software development methodology. The methodology stresses on adaptation and collaboration between people. Here, software project managers should agree to an idea of putting the right people in the right jobs. This research puts forward an idea of applying Big Five Personality Traits to predict how people suitable for the Agile methodology. A predicting method is driven by using kNearest Neighbour (kNN) classification technique. Results of a pilot study are presented and shown that the selected classification technique can be used for the prediction.en_US
dc.subjectComputer Scienceen_US
dc.titleAgile person identification through personality test and kNN classification techniqueen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environmenten_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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