Publication:
Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management

Simple item page
dc.citedby12
dc.contributor.authorTan C.H.en_US
dc.contributor.authorYap K.S.en_US
dc.contributor.authorIshibuchi H.en_US
dc.contributor.authorNojima Y.en_US
dc.contributor.authorYap H.J.en_US
dc.contributor.authorid55175180600en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid7005630377en_US
dc.contributor.authorid8652791500en_US
dc.contributor.authorid35319362200en_US
dc.date.accessioned2023-05-16T02:45:46Z
dc.date.available2023-05-16T02:45:46Z
dc.date.issued2014
dc.description.abstractExpert judgment is widely used for activity duration estimation in software project management. While there are both advantages and disadvantages of expert judgment-based estimation, we propose the use of fuzzy inference rules for semi-automatic estimation to reduce the potential negative aspects of the expert judgment-based estimation. Fourteen fuzzy inference rules are introduced to elicit and adjust expert tacit knowledge, and expert judgment-based estimation results are complemented by fuzzy inference rules. The results from expert judgment and fuzzy inference rules are compared with the expert judgment-based approach using surveys and one-on-one interviews with project managers from different disciplines through analyses with data from past software projects. The use of fuzzy inference rules improves the estimation accuracy of the expert judgment-based approach by 39.35%. The proposed approach facilitates the experts to derive a more realistic and reliable activity duration estimation in software project management. © 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6818430
dc.identifier.doi10.1109/THMS.2014.2320881
dc.identifier.epage688
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84907187870
dc.identifier.spage678
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84907187870&doi=10.1109%2fTHMS.2014.2320881&partnerID=40&md5=9d338649961d02b4054419615d222148
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21862
dc.identifier.volume44
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Transactions on Human-Machine Systems
dc.titleApplication of fuzzy inference rules to early semi-automatic estimation of activity duration in software project managementen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS