Skip to main content
Conference Proceedings

Applied least square regression in use case estimation precision tuning

Advances in Intelligent Systems and Computing (2015) 349 11-17
DOI: 10.1007/978-3-319-18473-9_2
6Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the presented paper the new software effort estimation method is proposed. The Least Square Regression is used to predict a value of correction parameters, which have a significant impact. The accuracy estimationis of 85% better than the convectional use case points methods in tested dataset.

Author supplied keywords

Cite

CITATION STYLE

APA

Silhavy, R., Silhavy, P., & Prokopova, Z. (2015). Applied least square regression in use case estimation precision tuning. In Advances in Intelligent Systems and Computing (Vol. 349, pp. 11–17). Springer Verlag. https://doi.org/10.1007/978-3-319-18473-9_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free