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Browse Journals & Magazines > Human-Machine Systems, IEEE T ...> Volume:44 Issue:5
Application of Fuzzy Inference Rules
to Early Semi-automatic Estimation
of Activity Duration in Software
Project Management
5
Author(s)
Full Text as PDF
Tan, C. ; Universiti Tenaga Nasional, Selangor, Malaysia ; Yap, K. ; Ishibuchi, H. ; Nojima, Y.
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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.
Published in:
Human-Machine Systems, IEEE Transactions on (Volume:44 , Issue: 5 )
Date of Publication:
Oct. 2014
Page(s):
678 - 688
Date of Publication :
19 May 2014
ISSN :
2168-2291
Date of Current Version :
12 September 2014
DOI:
10.1109/THMS.2014.2320881
Issue Date :
Oct. 2014
Sponsored by :
Systems, Man, and Cybernetics Society
Publisher:
IEEE
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