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Export Reference (APA) 
Aline Baroni & Brito e Abreu, F. (2002). Formalizing Object-Oriented Design Metrics upon the UML Meta-Model. In 16th Brazilian Symposium on Software Engineering. (pp. 130-145). Gramado - RS, Brazil: Brazilian Computer Society.
Export Reference (IEEE) 
A. L. Baroni and F. M. Abreu,  "Formalizing Object-Oriented Design Metrics upon the UML Meta-Model", in 16th Brazilian Symp. on Software Engineering, Gramado - RS, Brazil, Brazilian Computer Society, 2002, vol. 1, pp. 130-145
Export BibTeX 
@inproceedings{baroni2002_1716156977721,
	author = "Aline Baroni and Brito e Abreu, F.",
	title = "Formalizing Object-Oriented Design Metrics upon the UML Meta-Model",
	booktitle = "16th Brazilian Symposium on Software Engineering",
	year = "2002",
	editor = "",
	volume = "1",
	number = "",
	series = "",
	doi = "10.5753/sbes.2002",
	pages = "130-145",
	publisher = "Brazilian Computer Society",
	address = "Gramado - RS, Brazil",
	organization = "Brazilian Computer Society",
	url = "https://sol.sbc.org.br/index.php/sbes/issue/view/1076"
}
Export RIS 
TY  - CPAPER
TI  - Formalizing Object-Oriented Design Metrics upon the UML Meta-Model
T2  - 16th Brazilian Symposium on Software Engineering
VL  - 1
AU  - Aline Baroni
AU  - Brito e Abreu, F.
PY  - 2002
SP  - 130-145
DO  - 10.5753/sbes.2002
CY  - Gramado - RS, Brazil
UR  - https://sol.sbc.org.br/index.php/sbes/issue/view/1076
AB  - This paper discusses the formalization effort of object-oriented design metrics
definitions and presents some concrete examples, developed upon the UML meta-model. The
Object Constraint Language (OCL), a part of the Unified Modeling Language (UML)
standard, is used in the formalization. The combination of the UML meta-model and OCL
allows unambiguous metrics definition, which in turn helps increasing tool support for
object-oriented metrics extraction. This formalization renders possible the comparisons
among different sets of metrics, as well as it may be used to establish a common vocabulary
among different stakeholders. As consequence, the precision of the metrics collection
increases, contributing to the overall quality of the Software Engineering process.
ER  -