Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
IEEE.org | IEEE Xplore Digital Library | IEEE Standards | IEEE Spectrum | More Sites Cart (0) | Create Account | Sign In Access provided by: University of Malaya Sign Out 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. more authors Abstract Authors References Cited By Keywords Metrics Similar 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 Sign In | Create Account IEEE Account Purchase Details Profile Information Need Help? Change Username/Password Payment Options Communications Preferences US & Canada: +1 800 678 4333 Update Address Order History Profession and Education Worldwide: +1 732 981 0060 Access Purchased Documents Technical Interests Contact & Support About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies A not-for-profit organization, IEEE is the w orld's largest professional association for the advancement of technology. © Copyright 2014 IEEE - All rights reserved. Use of this w eb site signifies your agreement to the terms and conditions.