GKRR: A gravitational-based kernel ridge regression for software development effort estimation

GKRR: A gravitational-based kernel ridge regression for software development effort estimation

Software Development Effort Estimation (SDEE) can be interpreted as a set of efforts to produce a new software system. To increase the estimation accuracy, the researchers tried to provide various machine learning regressors for SDEE. Kernel Ridge Regression (KRR) has demonstrated good potentials to...

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Bibliographic Details
Main Authors: Mohammad Bagher Dowlatshahi, Mohammad Ali Zare-Chahooki, Saba Beiranvand, Amin Hashemi
Format: Article
Language:English
Published: Shahid Bahonar University of Kerman 2022-11-01
Series:Journal of Mahani Mathematical Research
Subjects:
software development effort estimation
gravitational search algorithm
kernel ridge regression
parameter optimization
feature selection
Online Access:https://jmmrc.uk.ac.ir/article_3361_3f4ba6ce73dadbb34a0c3d693e19514a.pdf
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