How to Automatically Collect Oriented Object Metrics: A Study Based on Systematic Review
Moshe Ribeiro$^{1}$, Rodrigo Reis$^{1}$, Antônio Abelém$^{1}$
$^{1}$Universidade Federal do Pará. Belém Brazil
email: moshe@ufpa.br, quites@ufpa.br, abelem@ufpa.br

Schedule:Tue 20th@15:15, Room: B

Aim: Getting information to automatically collect object oriented metrics (OO metrics) in order to assist the comprehension and assessment of software products. Method: A study was developed based on a systematic review and 37 primary studies were selected from 577 papers retrieved in 3 databases. Result: 177 metrics that can be automatically collected were catalogued.In addition, 27 of these were the most referenced. The cataloged metrics were classified according to the quality characteristics which were related; 18 collection tools have been identified. In this way, it was concluded that there is a set of common procedures for collecting OO metrics and the Java and C++ are the languages with the largest number of tools on which is possible to extract metrics.

BibTex

@InProceedings{CLEI-2015:144676,
	author 		= {Moshe Ribeiro and Rodrigo Reis and Antônio Abelém},
	title 		= {How to Automatically Collect Oriented Object Metrics: A Study Based on Systematic Review},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI)},
	pages 		= {715--726},
	year 		= {2015},
	editor 		= {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {http://clei.org/clei2015/144676},
	isbn 		= {978-1-4673-9143-6},
	}