Statecharts: A visual formalism for complex systems
Science of Computer Programming
Object oriented design with applications
Object oriented design with applications
The C++ programming language (2nd ed.)
The C++ programming language (2nd ed.)
Cyclomatic Complexity Density and Software Maintenance Productivity
IEEE Transactions on Software Engineering
Object-oriented modeling and design
Object-oriented modeling and design
Object-oriented analysis and design with applications (2nd ed.)
Object-oriented analysis and design with applications (2nd ed.)
The Unified Modeling Language user guide
The Unified Modeling Language user guide
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
UML 2001: a standardization odyssey
Communications of the ACM
Assessing the state of the software process development using the chaos theory
ACM SIGSOFT Software Engineering Notes
Intellectual energy in software design
ACM SIGSOFT Software Engineering Notes
Fighting Program Bloat with the Fractal Complexity Measure
Proceedings of the European Conference on Genetic Programming
Object-Oriented Software Engineering: A Use Case Driven Approach
Object-Oriented Software Engineering: A Use Case Driven Approach
Deriving Feasible Deployment Alternatives for Parallel and Distributed Simulation Systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Model of system configuration requirements and measurement of their functional size
International Journal of Networking and Virtual Organisations
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The possibility of predicting complexity of a software system in the design phase would be of an immense benefit for estimating complexity and with it associated effort of the implemented system. In this paper we cogitate on estimating complexity of a software system based on the UML models of the system. We test whether there is a valid relation between the complexities of an implemented software system and its UML model; and how this relation can be appropriately used. The measuring is performed with the fractal complexity measure a, which is based on long-range power law correlations.