Hybrid effort estimation based on multivariate liner regression and analogy based estimation

Koji Toda, Masateru Tsunoda, Akito Monden, Kenichi Matsumoto

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a hybrid effort estimation method based on the multivariate liner regression analysis and the analogy based estimation method (ABE). First, our method calculates the unreliability index of ABE on an estimation target project. Next, our method selects log-log regression estimation when the value of the index is low. Otherwise our method selects ABE estimation or combined estimation (the average of ABE and log-log regression estimation). In the experiment, we compared estimation accuracies of our method with conventional methods, and the results showed that the median of Balanced Relative Error (estimation accuracy index) was improved from 47.2% to 39.7%, when the variance of similar projects' effort was used as the reliability index.

Original languageEnglish
Pages (from-to)227-233
Number of pages7
JournalComputer Software
Volume30
Issue number2
Publication statusPublished - May 1 2013
Externally publishedYes

ASJC Scopus subject areas

  • Software

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