A Non-Intrusive Model for Capturing Metrics for Early Project Estimation in Agile Environments

• José Gamaliel Rivera Ibarra ITSON
• Gilberto Borrego ITSON
• Ramón René Palacio Cinco ITSON

DOI: https://doi.org/10.5753/cibse.2025.35339

Resumo

Early estimation is crucial in agile projects, but a lack of detailed initial requirements often makes it inaccurate. While data-driven models improve accuracy, the absence of company-specific databases hinders the reliance on historical data. This work presents a non-intrusive model for capturing key metrics (e.g., software size) in agile settings to facilitate building these databases. The model aims to support a hybrid estimation approach that combines data-driven techniques with expert judgment. Preliminary results highlight the need for automated metric capture to enhance the reliability of early agile estimations.

Palavras-chave: agile development, effort estimation, software metrics

Referências

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Rivera, J. G., Borrego, G., and Palacio, R. R. (2024). Early estimation in agile software development projects: A systematic mapping study. Informatics, 11.