A software-costing model that bases cost estimates upon statistical data such as source lines of code is an example of a ________ costing model.

A software-costing model that bases cost estimates upon statistical data such as source lines of code is an example of a ________ costing model.

• A. Fixed
• B. Parametric
• C. Analogous
• D. Adaptive

Answer: (B)

The reference to a software-costing model that utilizes statistical data, such as source lines of code (SLOC), aligns with the characteristics of a parametric costing model. Parametric models leverage historical data and statistical relationships to estimate costs based on defined parameters. In this context, the size of the software, often measured in lines of code, serves as the primary parameter for cost estimation. By applying empirical data and mathematical equations, this model produces estimates that can vary with different inputs, making it a powerful tool in software project management. Such models are valuable because they can provide consistent, objective estimates that can be applied across various projects with similar characteristics. This ability to quantify and predict cost based on measurable inputs sets parametric models apart from other types of costing models. It enhances decision-making by allowing project managers to understand potential costs associated with different project sizes and complexities more effectively.

The reference to a software-costing model that utilizes statistical data, such as source lines of code (SLOC), aligns with the characteristics of a parametric costing model. Parametric models leverage historical data and statistical relationships to estimate costs based on defined parameters. In this context, the size of the software, often measured in lines of code, serves as the primary parameter for cost estimation. By applying empirical data and mathematical equations, this model produces estimates that can vary with different inputs, making it a powerful tool in software project management.

Such models are valuable because they can provide consistent, objective estimates that can be applied across various projects with similar characteristics. This ability to quantify and predict cost based on measurable inputs sets parametric models apart from other types of costing models. It enhances decision-making by allowing project managers to understand potential costs associated with different project sizes and complexities more effectively.