DocumentCode :
197312
Title :
A theoretical validation of the number of polymorphic methods as a complexity metric
Author :
Bajeh, Amos Orenyi ; Basri, Shuib ; Low Tan Jung
Author_Institution :
Comput. & Inf. Sci. Dept., Univ. Teknol. Petronas, Bandar Seri Iskandar, Malaysia
fYear :
2014
fDate :
3-5 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
The external quality attributes of software product are influenced by the internal and structural properties of the design of software products. This implies that to estimate the external quality, the internal properties need to be accurately measured. Measuring the internal attributes requires the use of metrics that are both theoretically and empirically valid. This work identifies and theoretically validates an OO metrics that measures polymorphism. The property-based and measurement theory-based validation approaches are used to show that the metric measures the concept of complexity which has impact on the external quality attribute of software design.
Keywords :
object-oriented methods; software metrics; software quality; OO metrics; complexity metric; external quality attribute; measurement theory-based validation; polymorphic method; polymorphism; property-based validation; software design; software product; Complexity theory; Object oriented modeling; Software design; Software measurement; Unified modeling language; Object-Oriented software; complexity; metrics; polymorphism; theoretical validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Sciences (ICCOINS), 2014 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4391-3
Type :
conf
DOI :
10.1109/ICCOINS.2014.6868445
Filename :
6868445
Link To Document :
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