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

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

Expert 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...

Full description

Saved in:

Bibliographic Details
Main Authors:	Tan C.H., Yap K.S., Ishibuchi H., Nojima Y., Yap H.J.
Other Authors:	55175180600
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-21862
record_format	dspace
spelling	my.uniten.dspace-218622023-05-16T10:45:46Z Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management Tan C.H. Yap K.S. Ishibuchi H. Nojima Y. Yap H.J. 55175180600 24448864400 7005630377 8652791500 35319362200 Expert 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. Final 2023-05-16T02:45:46Z 2023-05-16T02:45:46Z 2014 Article 10.1109/THMS.2014.2320881 2-s2.0-84907187870 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907187870&doi=10.1109%2fTHMS.2014.2320881&partnerID=40&md5=9d338649961d02b4054419615d222148 https://irepository.uniten.edu.my/handle/123456789/21862 44 5 6818430 678 688 Institute of Electrical and Electronics Engineers Inc. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Expert 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.
author2	55175180600
author_facet	55175180600 Tan C.H. Yap K.S. Ishibuchi H. Nojima Y. Yap H.J.
format	Article
author	Tan C.H. Yap K.S. Ishibuchi H. Nojima Y. Yap H.J.
spellingShingle	Tan C.H. Yap K.S. Ishibuchi H. Nojima Y. Yap H.J. Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
author_sort	Tan C.H.
title	Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
title_short	Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
title_full	Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
title_fullStr	Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
title_full_unstemmed	Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
title_sort	application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
_version_	1806424575121031168
score	13.211869

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

Similar Items