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New Set of Metrics for Accessing Usability in Feature Oriented Programming

by Amita Sharma, Geetika Vyas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 11
Year of Publication: 2013
Authors: Amita Sharma, Geetika Vyas
10.5120/14056-2223

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 },
issue_date = { November 2013 },
volume = { 81 },
number = { 11 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number11/14056-2223/ },
doi = { 10.5120/14056-2223 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:47.871225+05:30
%A Amita Sharma
%A Geetika Vyas
%T New Set of Metrics for Accessing Usability in Feature Oriented Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 11
%P 19-22
%D 2013
%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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Index Terms

Computer Science
Information Sciences

Keywords

Feature oriented programming Object Oriented Metrics Software Product Line and Feature-Class Relationship.

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