A Function Point-Like Measure for Object-Oriented Software
Empirical Software Engineering
Object Oriented Design Function Points
APAQS '00 Proceedings of the The First Asia-Pacific Conference on Quality Software (APAQS'00)
Function Point Measurement Tool for UML Design Specification
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Object-Oriented Software Engineering: A Use Case Driven Approach
Object-Oriented Software Engineering: A Use Case Driven Approach
A formal representation of functional size measurement methods
Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
The size and effort estimates in iterative development
Information and Software Technology
Automated software size estimation based on function points using UML models
Information and Software Technology
A proposal for simplified model-based cost estimation models
PROFES'12 Proceedings of the 13th international conference on Product-Focused Software Process Improvement
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Software size is an important attribute in software project planning. Several methods for software size estimation are available; most of them are based on function points. Albrecht introduced function points as a technologically independent method with its own software abstraction layer. However, it is difficult to apply original abstraction elements to current technologies. Therefore researchers introduced additional rules and mappings for object-based solutions. In this paper several mapping strategies are discussed and compared. Based on the similarities in compared mappings, a common mapping strategy is then defined. This mapping is then tested on the reference application portfolio containing five applications. The aim of the test scenario is to evaluate the impact of the diverse detail levels in the class diagrams on software size measurement. Although the question of how to perform quality size measurements in object-oriented projects remains unanswered, the paper gives valuable information on the topic, supported by mathematics.