Advanced Estimation Methods

Our platform combines industry-standard estimation techniques with modern AI to deliver the most accurate project sizing.

Use Case Points

Estimates project size by analyzing use cases and their technical/environmental complexity factors.

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Counts actors and use cases
Weights technical & environmental factors
Our AI regression model refines estimates based on historical project data

AI Regression Model

Our machine learning model analyzes thousands of past projects to predict effort more accurately by learning from deviations between initial estimates and actual outcomes.

Functional Points

Measures software functionality from the user perspective by counting logical files, inputs, outputs and inquiries.

Counts data functions and transactional functions
Adjusts for technical complexity factors
Calculates unadjusted then adjusted function points

COCOMO II

Constructive Cost Model estimates effort, cost and schedule based on project size and complexity factors.

Three model levels: Basic, Intermediate, Detailed
Adjusts for 17 cost driver attributes
Calculates person-months and schedule months

Our Combined Approach

CodeSizer Pro doesn't rely on just one estimation method. We combine all three techniques with our proprietary AI algorithms to give you the most accurate estimate possible.

1. Initial Estimate

Calculate using all three methods independently

2. Cross-Validation

Compare results across methods to identify anomalies

3. AI Refinement

Apply machine learning to adjust the estimate based on similar historical projects