Assessing software complexity from UML using fractal complexity measure

Author

Podgorelec, V. ; Hericko, M. ; Juric, M.B.

Author_Institution

Inst. of Informatics, Maribor Univ.

fYear

2004

fDate

Aug. 30 2004-Sept. 1 2004

Firstpage

237

Lastpage

242

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Cybernetics, 2004. ICCC 2004. Second IEEE International Conference on

Conference_Location

Vienna

Print_ISBN

0-7803-8588-8

Type

conf

DOI

10.1109/ICCCYB.2004.1437717

Filename

1437717