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Software Effort Estimation using Outlier Elimination Methods


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

Software engineering society has always faced the problems of accuracy of Software effort estimation. To advance the estimation accuracy of software effort, many studies have focused on effort estimation methods without any concern of data quality, although data quality is one of important factor to impact to the estimation accuracy. So I investigated the influence of outlier elimination upon the accuracy of software effort estimation through experiments applying two outlier elimination methods (K-means clustering and My-K-means clustering) and two effort estimation methods( Least squares and Neural network) associatively. A new outlier elimination method My-K-means clustering is proposed which gives better estimation results than K-means clustering. The experiments were performed using the Bank data set which consists of the project data performed in a bank in Pakistan, with or without outlier elimination.

Product Specifications
SKU :COC17828
AuthorBernard Mugeni Balyejusa
Number of Pages64
Publishing Year5/15/2012
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-27 00:00:00
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