Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Automatic Transactions Identification in Use Cases
Balancing Agility and Formalism in Software Engineering
Analysis of complexity of requirements: a metrics based approach
Proceedings of the 2nd India software engineering conference
Transactions and paths: Two use case based metrics which improve the early effort estimation
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Reliability of transaction identification in use cases
Proceedings of the Workshop on Advances in Functional Size Measurement and Effort Estimation
Improving the reliability of transaction identification in use cases
Information and Software Technology
Use case modeling and refinement: a quality-based approach
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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Use case point (UCP) method has been proposed to estimate software development effort in early phase of software project and used in a lot of software organizations. Intuitively, UCP is measured by counting the number of actors and transactions included in use case models. Several tools to support calculating UCP have been developed. However, they only extract actors and use cases and the complexity classification of them are conducted manually. We have been introducing UCP method to software projects in Hitachi Systems & Services, Ltd. To effective introduction of UCP method, we have developed an automatic use case measurement tool, called U-EST. This paper describes the idea to automatically classify the complexity of actors and use cases from use case model. We have also applied the U-EST to actual use case models and examined the difference between the value by the tool and one by the specialist. As the results, UCPs measured by the U-EST are similar to ones by the specialist.