Evaluation of a Business Application Framework Using Complexity and Functionality Metrics
PROFES '01 Proceedings of the Third International Conference on Product Focused Software Process Improvement
Object-Oriented Function Points: An Empirical Validation
Empirical Software Engineering
Modeling clones evolution through time series
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
A functional size measurement method for event-based object-oriented enterprise models
Enterprise information systems IV
Software Functionality: A Game Theoretic Analysis
Journal of Management Information Systems
Functional size measurement revisited
ACM Transactions on Software Engineering and Methodology (TOSEM)
On the Relation between Class-Count and Modeling Effort
Models in Software Engineering
The Effect of Entity Generalization on Software Functional Sizing: A Case Study
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
Moving from Requirements to Design Confronting Security Issues: A Case Study
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
ReMoFP: a tool for counting function points from UML requirement models
Advances in Software Engineering
Using UML stereotypes to support the requirement engineering: a case study
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Information and Software Technology
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This paper presents a method for estimating the size, and consequently effort and duration, of object oriented software development projects. Different estimates may be made in different phases of the development process, according to the available information. We define an adaptation of traditional function points, called "Object Oriented Function Points", to enable the measurement of object oriented analysis and design specifications. Tools have been constructed to automate the counting method. The novel aspect of our method is its flexibility. An organisation can experiment with different counting policies, to find the most accurate predictors of size, effort, etc. in its environment. The method and preliminary results of its application in an industrial environment are presented and discussed.