DocumentCode
2731132
Title
Notice of Retraction
Research on fast cost estimation of project in project family based on case based reasoning
Author
Ling Zhe ; Shan Mi Yuan
Author_Institution
Coll. of Bus. & Adm., Hunan Univ., Changsha, China
fYear
2011
fDate
15-17 July 2011
Firstpage
846
Lastpage
850
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the general work breakdown structure(GWBS) for cost estimation and the mapping relation of features of GWBS-resource consumption-cost, and proposes a fast cost estimation model of project in project family based on case based reasoning (PFCBR). Differ from the common CBR, the proposed model adopt CBR technique to retrieve project case or element case from top to bottom. Based on the hierarchical structure of the GWBS, it reuses not only cost information of project case, but also element cases. Finally, the PFCBR is compared to the common CBR, artificial neural network and multiple regression analysis according to MMRE and Pred(0.25). Comparative results show that the PFCBR is significantly more accurate than other three methods.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the general work breakdown structure(GWBS) for cost estimation and the mapping relation of features of GWBS-resource consumption-cost, and proposes a fast cost estimation model of project in project family based on case based reasoning (PFCBR). Differ from the common CBR, the proposed model adopt CBR technique to retrieve project case or element case from top to bottom. Based on the hierarchical structure of the GWBS, it reuses not only cost information of project case, but also element cases. Finally, the PFCBR is compared to the common CBR, artificial neural network and multiple regression analysis according to MMRE and Pred(0.25). Comparative results show that the PFCBR is significantly more accurate than other three methods.
Keywords
case-based reasoning; costing; neural nets; regression analysis; artificial neural network; case based reasoning; fast project cost estimation model; general work breakdown structure; multiple regression analysis; resource consumption; Accuracy; Analytical models; Artificial neural networks; Cognition; Electric breakdown; Estimation; Software; case-based reasoning; cost estimation; general work breakdown structure; project family;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982473
Filename
5982473
Link To Document