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Project Complexity

In addition to the project size, project complexity must be properly evaluated. To some extent, complexity levels are evaluated by the function point 14 general system characteristics:

  1. Data communications

  2. Distributed data processing

  3. Performance

  4. Heavily used configuration

  5. Transaction rate

  6. Online data entry

  7. End-user efficiency

  8. Online update

  9. Complex processing

  10. Reusability

  11. Installation ease

  12. Operational ease

  13. Multiple sites

  14. Facilitate change

The assessment of a project's complexity must also take into consideration complex interfaces, database structures, and contained algorithms. The assessment of complexity can be based upon five varying levels of complexity:

  • Level 1: Simple addition/subtraction

Simple logical algorithms

Simple data relationships

  • Level 2: Many calculations, including multiplication/division in series

More complex nested algorithms

Multidimensional data relationships

  • Level 3: Significant number of calculations typically contained in payroll/actuarial/rating/scheduling applications

Complex nested algorithms

Multidimensional and relational data relationships with a significant number of attributive and associative relationships

  • Level 4: Differential equations typical

Fuzzy logic

Extremely complex logical and mathematical algorithms typically seen in military/telecommunications/real-time/automated process control/navigation systems

Extremely complex data

  • Level 5: Online, continuously available, critically timed

Event-driven outputs that occur simultaneously with inputs

Buffer area or queue to determine processing priorities

Memory, timing, and communication constraints

The most advanced applications developed

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