Albrecht's Function Point Method

Introduction

Albrecht's Function Point Method is a software estimation technique that helps programmers to determine the size and complexity of software projects. It allows for a more accurate estimation of the effort and resources required for development.

What is Function Point?

Function Point is a unit of measurement used to calculate the size and complexity of software projects. It is based on the functionality provided by the software, rather than the source lines of code. Function Point Analysis (FPA) is a methodology that quantifies the functionality provided by an information system.

How does Albrecht's Function Point Method work?

Albrecht's Function Point Method uses a series of steps to calculate the function points for a software project. These steps include:

1. Identifying External Inputs (EI): These are user interactions that result in data being entered into the system. Examples include data entry screens and user forms.

2. Identifying External Outputs (EO): These are user interactions that result in data being presented by the system. Examples include reports and user interfaces.

3. Identifying External Inquiries (EQ): These are user interactions that result in data being retrieved from the system. Examples include search functions and query screens.

4. Identifying Internal Logical Files (ILF): These are logical groupings of data maintained within the system. Examples include databases and data files.

5. Identifying External Interface Files (EIF): These are external data groups used by the system. Examples include files received from external systems.

6. Assigning complexity weights to each identified function based on factors such as data elements, record types, and user interactions.

7. Calculating the Unadjusted Function Point (UFP) by summing up the complexity weights of all identified functions.

8. Applying a set of value adjustment factors (VAF) to the UFP to account for the influence of general system characteristics, like performance requirements or user-friendliness.

9. Calculating the Adjusted Function Point (AFP) by multiplying the VAF with the UFP.

10. Using historical data or industry standards to convert AFP into effort, duration, and resource estimates for the software project.

Benefits of Albrecht's Function Point Method

• Provides a standardized and consistent way to estimate software size and complexity.
• Helps in better resource allocation and project planning.
• Allows for early identification of potential risks and challenges.
• Enables benchmarking and comparison of different software projects.
• Promotes communication and collaboration between developers and stakeholders.

In conclusion, Albrecht's Function Point Method is a valuable tool for programmers to estimate the size and complexity of software projects. By following a systematic approach, it allows for more accurate planning and resource allocation, resulting in better project management and successful software development.