Research Article
New Set of Metrics for Accessing Usability in Feature Oriented Programming
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 81 - Issue 11 |
| Published: November 2013 |
| Authors: Amita Sharma, Geetika Vyas |
10.5120/14056-2223
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Amita Sharma, Geetika Vyas . New Set of Metrics for Accessing Usability in Feature Oriented Programming. International Journal of Computer Applications. 81, 11 (November 2013), 19-22. DOI=10.5120/14056-2223
@article{ 10.5120/14056-2223,
author = { Amita Sharma,Geetika Vyas },
title = { New Set of Metrics for Accessing Usability in Feature Oriented Programming },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 81 },
number = { 11 },
pages = { 19-22 },
doi = { 10.5120/14056-2223 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Amita Sharma
%A Geetika Vyas
%T New Set of Metrics for Accessing Usability in Feature Oriented Programming%T
%J International Journal of Computer Applications
%V 81
%N 11
%P 19-22
%R 10.5120/14056-2223
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Quality and complexity assessment are critical aspects in feature oriented software development. Feature oriented development is part of software product line methodology where software is framed using feature concept. In course of research; object oriented metrics are being used to assess the quality of feature model. But these metrics limit the complexity within the features and complexity across the classes and features relationship are untouched . This state of art proposes a new set of metrics to provide usability and complexity assessment crosswise the feature-class relationship. This will provide better understanding of feature oriented system and help to develop a sustainable system.
References
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