An empirical validation of coupling and cohesion metrics as testability indicators

The measurement of the quality attributes of software is a management approach to building quality software product. Testability is a measure of the capability of the software to be subjected to testing. It is a desirable quality attribute of software product because it ensures the reliability of so...

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المؤلفون الرئيسيون: Bajeh, A.O., Basri, S., Jung, L.T.
التنسيق: مقال
منشور في: Springer Verlag 2015
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923171680&doi=10.1007%2f978-3-662-46578-3_109&partnerID=40&md5=780f4b929f78cae6e41662f815104b6c
http://eprints.utp.edu.my/26126/
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spelling my.utp.eprints.261262021-08-30T08:52:57Z An empirical validation of coupling and cohesion metrics as testability indicators Bajeh, A.O. Basri, S. Jung, L.T. The measurement of the quality attributes of software is a management approach to building quality software product. Testability is a measure of the capability of the software to be subjected to testing. It is a desirable quality attribute of software product because it ensures the reliability of software. This paper presents an empirical validation of coupling and cohesion metrics as indicators of the testability quality attributes of Object-Oriented (OO) software from High-Level Design (HLD) perspective. Open-source OO software samples are used for the empirical analysis and three test case complexity metrics are taken as the measure of the complexity of testing the software sample. The results of the empirical validation showed that the coupling metrics and some of the cohesion metrics investigated are good indicators of the testability of OO software design. © Springer-Verlag Berlin Heidelberg 2015. Springer Verlag 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923171680&doi=10.1007%2f978-3-662-46578-3_109&partnerID=40&md5=780f4b929f78cae6e41662f815104b6c Bajeh, A.O. and Basri, S. and Jung, L.T. (2015) An empirical validation of coupling and cohesion metrics as testability indicators. Lecture Notes in Electrical Engineering, 339 . pp. 915-922. http://eprints.utp.edu.my/26126/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The measurement of the quality attributes of software is a management approach to building quality software product. Testability is a measure of the capability of the software to be subjected to testing. It is a desirable quality attribute of software product because it ensures the reliability of software. This paper presents an empirical validation of coupling and cohesion metrics as indicators of the testability quality attributes of Object-Oriented (OO) software from High-Level Design (HLD) perspective. Open-source OO software samples are used for the empirical analysis and three test case complexity metrics are taken as the measure of the complexity of testing the software sample. The results of the empirical validation showed that the coupling metrics and some of the cohesion metrics investigated are good indicators of the testability of OO software design. © Springer-Verlag Berlin Heidelberg 2015.
format Article
author Bajeh, A.O.
Basri, S.
Jung, L.T.
spellingShingle Bajeh, A.O.
Basri, S.
Jung, L.T.
An empirical validation of coupling and cohesion metrics as testability indicators
author_facet Bajeh, A.O.
Basri, S.
Jung, L.T.
author_sort Bajeh, A.O.
title An empirical validation of coupling and cohesion metrics as testability indicators
title_short An empirical validation of coupling and cohesion metrics as testability indicators
title_full An empirical validation of coupling and cohesion metrics as testability indicators
title_fullStr An empirical validation of coupling and cohesion metrics as testability indicators
title_full_unstemmed An empirical validation of coupling and cohesion metrics as testability indicators
title_sort empirical validation of coupling and cohesion metrics as testability indicators
publisher Springer Verlag
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923171680&doi=10.1007%2f978-3-662-46578-3_109&partnerID=40&md5=780f4b929f78cae6e41662f815104b6c
http://eprints.utp.edu.my/26126/
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