Toward Improving the Efficiency of Software Development Effort Estimation via Clustering Analysis

Toward Improving the Efficiency of Software Development Effort Estimation via Clustering Analysis

Introduction: The precise estimation of software effort is a significant difficulty that project managers encounter during software development. Inaccurate forecasting leads to either overestimating or underestimating software effort, which can be detrimental for stakeholders. The International Func...

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Bibliographic Details
Main Authors: Vo Van Hai, Ho Le Thi Kim Nhung, Zdenka Prokopova, Radek Silhavy, Petr Silhavy
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Software effort estimation
function point analysis
dataset clustering
K-means
categorical variables
machine learning
Online Access:https://ieeexplore.ieee.org/document/9803030/

Internet

https://ieeexplore.ieee.org/document/9803030/

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