## Abstract

Multivariate linear regression models have been commonly used as software efort prediction models. To improve the prediction accuracy, it is a common practice to transform (especially, log-transform) the data before building a model, although its theoretical basis is not necessarily clear. This paper reveals that the log-transformed linear regression model (log-log regression model) is equal to the exponential model, which is suitable to characterize various relationships among software related metrics. However, when using a log-log regression model, the result of inverse transformation tends to under-estimate the efort. This paper also introduces a method to correct such bias.

Original language | English |
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Pages (from-to) | 234-239 |

Number of pages | 6 |

Journal | Computer Software |

Volume | 27 |

Issue number | 4 |

Publication status | Published - Dec 1 2010 |

Externally published | Yes |

## ASJC Scopus subject areas

- Software