Dec 29, 2021 · This paper proposes and validates a theoretical framework based on the maximization of Shannon entropy to learn component size distribution of ...

Understanding software size distribution is critical to software cost estimation using COCOMO model and design of reliable production function model.

This paper proposes and validates a theoretical framework based on the maximization of Shannon entropy to learn component size distribution of software systems.

Understanding software size distribution is critical to software cost estimation using COCOMO model and design of reliable production function model.

Aug 21, 2024 · This paper proposes and validates a theoretical framework based on the maximization of Shannon entropy to learn component size distribution of ...

Understanding software size distribution is critical to software cost estimation using COCOMO model and design of reliable production function model.

Jun 19, 2024 · Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules. IEEE Trans ...

Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules pp. 5136-5147. A Systematic ...

This paper proposes and validates a theoretical framework based on the maximization of Shannon entropy to learn component size distribution of software systems ...

Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules · IEEE Transactions on ...