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DC Field | Value | Language |
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dc.contributor.author | Chartchai Doungsa-Ard | en_US |
dc.contributor.author | Vipaporn Chaiwon | en_US |
dc.date.accessioned | 2020-10-14T08:24:50Z | - |
dc.date.available | 2020-10-14T08:24:50Z | - |
dc.date.issued | 2020-03-01 | en_US |
dc.identifier.other | 2-s2.0-85085604882 | en_US |
dc.identifier.other | 10.1109/ECTIDAMTNCON48261.2020.9090730 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085604882&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/70139 | - |
dc.description.abstract | © 2020 IEEE. There are high demands of software engineering now a day due to the digital evolution. Having good software engineers to the team is an advantage for the business. There are many research indicates that there are relationships between software engineer position and personal traits. The work position requires people with specific traits to achieve work. So this paper proposed the K-question position mapping technique to find a suitable job position for the candidate. The candidate needs to complete the Five-Factor Model (FFM) test to explore their dominated traits. Using the model data from the FFM test of people with various positions, the dominated traits are compared to each traits data with software position. The proposed technique suggests the appropriate software position for the candidate. Besides, the proposed approach has been compared with other techniques such as regression analysis, and the k-nearest neighbor. The result shows that the proposed approach returns the appropriate position more accuracy than the other. | en_US |
dc.subject | Arts and Humanities | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Energy | en_US |
dc.subject | Engineering | en_US |
dc.subject | Medicine | en_US |
dc.subject | Social Sciences | en_US |
dc.title | The Software Engineering Position Mapping from Personality Traits | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2020 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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