On-line appendix

This on-line appendix is supplementary to the paper entitled "Linear Programming as a Baseline for Software Effort Estimation" by Sarro and Petrozziello, which has been published in the ACM Transactions on Software Engineering and Methodology (TOSEM) journal.
The pre-print of the paper can be dowloaded here


Additional results

    Mean Absolute Error (MAE) values achieved by LP4EE, ATML and state-of-the-art estimation methods for each of the 30 independent cross-validations:
  • 3-fold, 5 fold, 10-fold

  • Median Absolute Error (MdAE) values achieved by LP4EE, ATML and state-of-the-art estimation methods for each of the 30 independent cross-validations:
  • 3-fold, 5 fold, 10-fold

Data

    You can download a zip file containing the 10 datasets used in our study here.


LP4EE is freely available for the R environment!

You can download our implementation of LP for R from GitHub. If you use our script in your work please cite our paper:
Federica Sarro, Alessio Petrozziello. "Linear Programming as a Baseline for Software Effort Estimation", ACM Transactions on Software Engineering and Methodology (TOSEM), 2018 (to appear).
bibtex
@article{SarroTOSEM2018,
author=" Sarro, Federica and Petrozziello, Alessio",
title = "Linear Programming as a Baseline Method for Software Effort Estimation",
journal = "ACM Transactions on Software Engineering and Methodology (TOSEM)",
volume = "",
pages = "to appear",
year = "2018",
url = "http://www0.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/SarroTOSEM18.pdf"
}


Authors