Title :
Assessing software complexity from UML using fractal complexity measure
Author :
Podgorelec, V. ; Hericko, M. ; Juric, M.B.
Author_Institution :
Inst. of Informatics, Maribor Univ.
fDate :
Aug. 30 2004-Sept. 1 2004
Abstract :
The possibility of predicting complexity of a software system early in the development process would be of great benefit for estimating complexity and associated effort of the implemented system. In the paper, we present an experiment to predict the complexity of a software system using UML model. Based on the previous work on a metrics, where it has been shown that the fractal complexity measure a can be used to assess the complexity of a software system, and on the proposition that a is somehow related to the amount of intellectual energy built into the software artifacts, we tested a hypothesis that by measuring the complexity of UML model of a software system the complexity of the system´s implementation can be foreseen
Keywords :
Unified Modeling Language; software metrics; UML; fractal complexity measure; software artifact; software complexity; software development; Energy measurement; Fractals; Object oriented modeling; Predictive models; Programming; Project management; Software maintenance; Software measurement; Software systems; Unified modeling language;
Conference_Titel :
Computational Cybernetics, 2004. ICCC 2004. Second IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7803-8588-8
DOI :
10.1109/ICCCYB.2004.1437717
