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Using Estimating by Analogy to Generate Estimates for SSRM
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Having generated estimate ranges for project work effort and duration using estimating by comparison, Jenny decides that she will now use estimating by analogy to validate her existing estimates Jenny s first task is to filter the ISBSG Repository to attempt to select a project analog that matches the target project on all of the
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practical Software project estimation
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recorded project attributes The SSRM project attributes have the following values:
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Attribute Functional size Development platform Project type Organization type Application type Maximum team size Primary programming language Used prototyping Used JAD Web development
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Target Project Value 540 function points Midrange New development Education Management information system 5 to 8 Java Yes Yes Yes
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From her experience using the estimation by comparison technique, Jenny already knows that her copy of the ISBSG Repository contains no new development projects of between 250 and 750 function points, developed for a midrange platform, that match Organization Type Education or Used JAD Yes, so she decides to eliminate those project attributes from the matching set When Jenny attempts to select an analog based upon the remaining SSRM project attributes, however, she discovers that there is still no analog to her target project in the ISBSG Repository She therefore decides to eliminate and generalize more of the project attributes from the matching set in order to try to find an analog This leads to the following reduced set of project attribute values:
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Attribute Functional size Development platform Project type Primary programming language Target Project Value 250 750 function points Midrange New development Java
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Using this reduced set of matching project attributes, Jenny identifies four matching projects and potential analogs in the ISBSG Repository She considers each of these potential analogs individually, looking at their full set of attribute values, in order to determine which she should ultimately choose as the actual analog From this process Jenny eliminates the two potential analogs with Organization Type Manufacturing Jenny thinks that manufacturing and education organizations have very different focuses and that this
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project estimation Using the ISBSG repository
may impact the way in which they develop and deliver software The two remaining potential analogs both have Organization Type Professional Services, which Jenny feels is a better fit to the SSRM project These two remaining potential analogs have as their project activity scopes Planning, Specification, Build and Test and Planning, Specification, Build, Test and Implement, respectively Because the SSRM project estimates must address all of the planning, specification, build, test, and implement phases, Jenny has no hesitation in choosing the latter project as her actual analog Jenny is now able to read values for the target project s delivery rate and speed of delivery estimates directly from the analog s own attributes
Project Delivery Rate (hours per function point) 93
Function Points 435
Project Work Effort (hours) 4,045
Speed of Delivery (function points per month) 1115
Project Duration (months) 39
Combining the analog s project delivery rate and speed of delivery with SSRM s functional size, Jenny calculates the following estimates:
Project Delivery Rate Project Work Effort PDRAE PWEAE = project analog value = 93 hours per function point = PDRAE Size = 93 540 = 5,022 hours = project analog value = 1115 function points per month = Size / SDAE = 540 / 1115 = 48 months
Speed of Delivery Project Duration
SDAE PDAE
Estimating using analogy indicates that development of SSRM will require around 5,022 hours of work and will take 48 months to complete
Discussion
Jenny has now completed the estimation by analogy process The estimated value for project work effort is around 6 percent higher than the likely value calculated using estimating by comparison, so is well within the comparative estimate s likely to pessimistic range On the other hand, the estimated value for project duration is around 38 percent lower than the likely value calculated using comparative
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