Fit data selection for software effort estimation models

Koji Toda; Akito Monden; Ken Ichi Matsumoto

doi:10.1145/1414004.1414084

Fit data selection for software effort estimation models

Koji Toda, Akito Monden, Ken Ichi Matsumoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set based on estimation target's features. While regression models were often constructed from all available project data, this paper showed the necessity of fit data selection, and showed that the proposed method is one of the effective and systematic means to do the selection.

Original language	English
Title of host publication	ESEM'08
Subtitle of host publication	Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Pages	360-361
Number of pages	2
DOIs	https://doi.org/10.1145/1414004.1414084
Publication status	Published - Dec 1 2008
Event	2nd International Symposium on Empirical Software Engineering and Measurement, ESEM 2008 - Kaiserslautern, Germany Duration: Oct 9 2008 → Oct 10 2008

Publication series

Name	ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

Other

Other	2nd International Symposium on Empirical Software Engineering and Measurement, ESEM 2008
Country	Germany
City	Kaiserslautern
Period	10/9/08 → 10/10/08

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Keywords

Effort estimation
Multivariate regression

ASJC Scopus subject areas

Computer Science Applications
Software
Electrical and Electronic Engineering

Cite this

Toda, K., Monden, A., & Matsumoto, K. I. (2008). Fit data selection for software effort estimation models. In ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement (pp. 360-361). (ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement). https://doi.org/10.1145/1414004.1414084

Fit data selection for software effort estimation models. / Toda, Koji; Monden, Akito; Matsumoto, Ken Ichi.

ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. 2008. p. 360-361 (ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Toda, K, Monden, A & Matsumoto, KI 2008, Fit data selection for software effort estimation models. in ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 360-361, 2nd International Symposium on Empirical Software Engineering and Measurement, ESEM 2008, Kaiserslautern, Germany, 10/9/08. https://doi.org/10.1145/1414004.1414084

Toda K, Monden A, Matsumoto KI. Fit data selection for software effort estimation models. In ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. 2008. p. 360-361. (ESEM'08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement). https://doi.org/10.1145/1414004.1414084

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Access to Document

10.1145/1414004.1414084