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.
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Silhavy, R., Silhavy, P., Prokopova, Z. (2015). Applied Least Square Regression in Use Case Estimation Precision Tuning. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Software Engineering in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-18473-9_2
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DOI: https://doi.org/10.1007/978-3-319-18473-9_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18472-2
Online ISBN: 978-3-319-18473-9
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