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project delivery rate and speed of delivery, based upon all the projects in the selected repository subset that exhibit that attribute The median is used to calculate the likely value for project delivery rate and speed of delivery The median is used instead of the mean to reduce the impact of outliers on the results The 25th and 75th percentiles are used to calculate the optimistic and conservative values for project delivery rate and speed of delivery Because a lower value indicates a better project delivery rate, the 25th percentile indicates the optimistic value for project delivery rate However, because a lower value indicates a poorer speed of delivery, the 25th percentile indicates the conservative value for speed of delivery 4 Estimate the project delivery rate and speed of delivery by calculating the averages of the project delivery rates and speeds of delivery for the sets of optimistic, likely, and conservative values The mean is used to determine the average values for the sets of project delivery rates and speeds of delivery 5 Estimate the project work effort and duration by combining the project delivery rate and speed of delivery estimates with the project s functional size be easily understood and applied by anyone with access to a database of historical project information, such as the ISBSG Repository On the other hand, because estimating by comparison does not use formal statistical analysis, it is important that the estimator carefully assesses the type and number of individual projects that are contributing to an estimate to ensure that the basis for the estimate is valid
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Note Because estimating by comparison is an informal technique, it can
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Using Estimating by Comparison to Generate Estimates for SSRM
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Jenny begins the estimating by comparison task by restricting the projects from the ISBSG Repository that will be utilized to calculate the estimates to those that match SSRM s functional size, development platform, and project type, thereby selecting a suitable data set She employs the following restrictions:
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Attribute Functional Size Development Platform Development Type Target Project Value 540 Midrange New development Matching ISBSG Projects 250 750 function points Midrange New development
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project estimation Using the ISBSG repository
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Next, Jenny identifies the SSRM project s values for a range of the project attributes included in the ISBSG Repository She then calculates the optimistic, likely, and conservative project delivery rate and speed of delivery values for the projects in the selected data set with matching project attribute values If Jenny feels that for a particular project attribute, none of the values in the repository match, she simply ignores that attribute Jenny also calculates the number of matches for each project attribute These values will help her validate the viability of the final estimates The following table displays the SSRM project attribute values and sets out the results of the calculations:
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Project Delivery Rate (hours per function point) Likely (median) Number Target of Project Value Matches Java 7 Conserv (75th%) Optim (25th%) Speed of Delivery (function points per month) Likely (median) 1115 381 540 378 1038 Conserv (25th%) Optim (75th%) 1979 381 540 380 1582
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Attribute Primary Programming Language Organization Type Application Type Maximum Team Size Used Prototyping Used JAD Web Development
Education Management Information System 5 8 Yes Yes Yes
0 2 79 84 89 381
1 3 0 12
76 82
76 92
76 334
540 377
The number of matches for the SSRM project s attributes ranges from 0 for Organization Type Education and Used JAD Yes, up to 12 for Web Development Yes Although Jenny would have preferred to have a larger number of matches for several of the project attributes, she decides that the total number of matching projects is adequate to provide indicative estimates She also decides not to eliminate any further attributes from her analysis Jenny generates the SSRM project delivery rate (PDRCE) and speed of delivery (SDCE) estimates by calculating the averages (that is, the means) of the sets of project delivery rates and speeds of delivery for the conservative, likely, and optimistic values Finally, she combines the project delivery rate and speed of delivery estimates with SSRM s functional size of 540 function points
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