DocumentCode :
596203
Title :
A Visualization Technique for Metrics-Based Hierarchical Quality Models
Author :
Chotjaratwanich, U. ; Arpnikanondt, C.
Author_Institution :
Requirements Eng. Lab., KMUTT, Bangkok, Thailand
Volume :
1
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
733
Lastpage :
736
Abstract :
Software quality is an impalpable concept, any quality goal set can prove to be elusive at best. A number of quality models have been proposed over the years that have tried to shed light on quality in a more systematic way. Even these quality models could be complex themselves and relationships among the various elements in the model could be tedious and cumbersome. This paper proposes a visualization technique for the metrics-based hierarchical quality model. The proposed technique relies on a proven visualization approach developed for viewing neural network models. It makes use of shapes, colors and line width to portray the relations among elements that simultaneously contribute to the targeted effective quality. An application case study is also presented to demonstrate its use.
Keywords :
data visualisation; neural nets; software metrics; software quality; metrics-based hierarchical quality model; neural network model; software quality; visualization technique; Software engineering; metrics; qmood; quality; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
Conference_Location :
Hong Kong
ISSN :
1530-1362
Print_ISBN :
978-1-4673-4930-7
Type :
conf
DOI :
10.1109/APSEC.2012.81
Filename :
6462737
Link To Document :
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