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Rating and Ranking the Components - Practices

Function Point Analysis is a structured technique of classifying components of a system. It is a method used to break systems down into smaller components so that they can be better understood and analyzed. Function Point Analysis provides a structured technique for problem solving.

TABLE OF CONTENTS:
  1. An Overview of Function Point Analysis
  2. The Five Major Components
  3. Rating and Ranking the Components
  4. Unadjusted Function Points
By: Nandini Venugopalan
Rating: starstarstarstarstar / 107
June 02, 2004

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Once all the components in the application have been classified as one of the five major components mentioned above, they have to be rated as either Low, Average, or High.

Ranking is commonly based on File Types Referenced, Data Element Types and Record Element Types.

File Types Referenced (FTRs) represents the total number of internal logical files (ILFs) maintained, read, or referenced, and the external interface files read or referenced by the EI/EO transaction.

Data Element Type (DET) can be defined as unique user-recognizable non-recursive fields including foreign key attributes that are maintained on ILF/EIF.

Record Element Type (RET) is a subgroup of data elements within an ILF/EIF.

For each of the components belonging to Transactional functions, the ranking is based on:

  1. Number of files updated or referenced (FTRs) and
  2. Number of data element types (DETs)

For the data components viz., Internal Logical Files (ILF) and External Interface Files (EIF), ranking is based on:

  1. Number of Data Element Types (DETs) and
  2. Number of Record Element Types (RETs)

The tables given below provide an example of rankings and ratings given to each component.

External Inputs

FTRsData Elements
1-45-15>15
0-1LowLowAverage
2LowAverageHigh
>=3AverageHighHigh

External Output/External Inquiries

FTRsData Elements
1-56-19>19
0-1LowLowAverage
2-3LowAverageHigh
>3AverageHighHigh

Values or Ratings for Transactions

RankingData Elements
External InputExternal OutputExternal Inquiry
Low343
Average454
High676

In the above example, if an external input component updates 2 FTRs and references around 16 data elements then the ranking would be HIGH and the associated rating would be 6.

Rankings for ILFs and EIFs

Record ElementsData Elements
1-1920-50>50
1LowLowAverage
2-5LowAverageHigh
>5AverageHighHigh

Values or Ratings

RankingData Elements
Internal Logical FileExternal Interface File
Low75
Average107
High1510



 
 
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