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Software Effort Estimation Based on Use Cases

Authors: Márcio Rodrigo Braz; Silvia Regina Vergilio;

Software Effort Estimation Based on Use Cases

Abstract

Software effort and cost estimation is a very important activity that includes very uncertain elements. In the context of object oriented software, traditional methods and metrics were extended to help managers in this activity. The metric Use Case Points (UCP) is an example of metric that can be used. UCP considers functional aspects of the Use Case (UC) Model, widely used in most organizations in the early phases of the development. However, the metric UCP presents some limitations mainly related to the granularity of the UC. To overcome these limitations, this paper introduces two metrics, also based on UCs. The first one, named USP (Use Case Size Points), considers the internal structures of the UC and better captures its functionality. The second one, named FUSP (Fuzzy Use Case Size Points), considers concepts of the Fuzzy Set Theory to create gradual classifications that better deal with uncertainty. Results from an empirical evaluation show the applicability and some advantages of the proposed metrics.

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    influence
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Average
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