Further Investigation into the Use of CBR and Stepwise Regression to Predict Development Effort for Web Hypermedia Applications

@inproceedings{Mendes2002FurtherII,
  title={Further Investigation into the Use of CBR and Stepwise Regression to Predict Development Effort for Web Hypermedia Applications},
  author={Emilia Mendes and Nile Mosley},
  booktitle={ISESE},
  year={2002}
}
To date studies using CBR for Web hypermedia effort prediction have not applied adaptation rules to adjust effort according to a given criterion. In addition, when applying n-fold cross-validation, their analysis has been limited to a maximum of three training sets, which according to recent studies, may lead to untrustworthy results. This paper has therefore two objectives. The first is to further investigate the use of CBR for Web hypermedia effort prediction by comparing the prediction… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 31 references

A Comparison of Length, Complexity & Functionality as Size Measures for Predicting Web Design & Authoring Effort

E. Mendes, N. Mosley, S. Counsell
Proceedings of the 2001 EASE Conference, Keele, UK, • 2001
View 4 Excerpts
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Measurement and Effort Prediction of Web Applications

E. Mendes, S. Counsell, N. Mosley
Proc. Second ICSE Workshop on Web Engineering, • 2000
View 7 Excerpts
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