Misc.

Jan, 2016

LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
  • Passakorn Phannachitta
  • ,
  • Akito Monden
  • ,
  • Jacky Keung
  • ,
  • Kenichi Matsumoto

Volume
E99D
Number
1
First page
151
Last page
162
Language
English
Publishing type
DOI
10.1587/transinf.2015EDP7237
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

Analogy-based software effort estimation has gained a considerable amount of attention in current research and practice. Its excellent estimation accuracy relies on its solution adaptation stage, where an effort estimate is produced from similar past projects. This study proposes a solution adaptation technique named LSA-X that introduces an approach to exploit the potential of productivity factors, i.e., project variables with a high correlation with software productivity, in the solution adaptation stage. The LSA-X technique tailors the exploitation of the productivity factors with a procedure based on the Linear Size Adaptation (LSA) technique. The results, based on 19 datasets show that in circumstances where a dataset exhibits a high correlation coefficient between productivity and a related factor (r = 0.30), the proposed LSA-X technique statistically outperformed (95% confidence) the other 8 commonly used techniques compared in this study. In other circumstances, our results suggest using any linear adaptation technique based on software size to compensate for the limitations of the LSA-X technique.

Link information
DOI
https://doi.org/10.1587/transinf.2015EDP7237
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000370390100019&DestApp=WOS_CPL
ID information
  • DOI : 10.1587/transinf.2015EDP7237
  • ISSN : 1745-1361
  • Web of Science ID : WOS:000370390100019

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