Bootstrap Prediction Intervals for a Semi-parametric Software Cost Estimation Model

@article{Mittas2009BootstrapPI,
  title={Bootstrap Prediction Intervals for a Semi-parametric Software Cost Estimation Model},
  author={Nikolaos Mittas and Lefteris Angelis},
  journal={2009 35th Euromicro Conference on Software Engineering and Advanced Applications},
  year={2009},
  pages={293-299}
}
The vital task of accurate Software Cost Estimation predictions remains a challenging problem attracting the interest of researchers and practitioners.Although Least Squares (LS) regression and Estimation by Analogy (EbA) are two of the most widely applied methods,there seems to be a discrepancy in choosing the best prediction technique. In this paper, we further extend our previous work on the utilization of a semi-parametric model,called LSEbA that achieves to combine the above-mentioned… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 23 references

The consistency of empirical comparisons of regression and analogy-based software project cost prediction

2005 International Symposium on Empirical Software Engineering, 2005. • 2005
View 3 Excerpts
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A Systematic Review of Software Development Cost Estimation Studies

M. Jorgensen, M. Shepperd
IEEE Transactions on Software Engineering, Vol. 33, No. 1, 2007, pp. 33-53. • 2007
View 2 Excerpts

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