What method can be deployed alongside decomposition strategies to offer a valuable estimation framework ?
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Answer: B. Empirical estimation models
Explanation
Empirical estimation models provide structured mathematical frameworks alongside decomposition strategies. These models use historical project data to predict effort, cost, and schedule requirements. Combining decomposition with empirical models increases the accuracy of software project estimates. Empirical estimation models rely on statistical formulas derived from past software development projects. Decomposition techniques break large projects down into smaller, more manageable estimation components. COCOMO is a famous example of an empirical estimation model used in software engineering.
Project estimators use empirical models to validate bottom-up decomposition estimates. Organizations maintain historical databases to calibrate empirical estimation formulas for local teams. Combining multiple estimation techniques helps managers justify software budgets to executive leadership. Automated estimation tools execute algorithms but empirical models form the underlying calculation logic. Decomposition techniques break down work but require empirical models to calculate total effort. Selecting only automated tools without empirical models misses the foundational estimation science.
- Subject
- Computer Science
- Category
- Software Engineering
- Topic
- —
- Difficulty
- medium
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