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Enhancing similarity distances using mandatory and optional forearly fault detection

Software Product Line (SPL) describes procedures, techniques, and tools in software engineering by using a common method of production for producing a group of software systems that identical from a shared set of software assets. In SPL, the similarity-based prioritization can resemble combinatorial...

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Main Authors: Abd. Razak, Safwan, Isa, Mohd. Adham, Jawawi, Dayang N. A.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/84557/1/SafwanAbdRazak2018_EnhancingSimilarityDistancesUsingMandatory.pdf
http://eprints.utm.my/id/eprint/84557/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/13479
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spelling my.utm.845572020-02-27T03:05:14Z http://eprints.utm.my/id/eprint/84557/ Enhancing similarity distances using mandatory and optional forearly fault detection Abd. Razak, Safwan Isa, Mohd. Adham Jawawi, Dayang N. A. QA75 Electronic computers. Computer science Software Product Line (SPL) describes procedures, techniques, and tools in software engineering by using a common method of production for producing a group of software systems that identical from a shared set of software assets. In SPL, the similarity-based prioritization can resemble combinatorial interaction testing in scalable and efficient way by choosing and prioritize configurations that most dissimilar. However, the similarity distances in SPL still not so much cover the basic detail of feature models which are the notations. Plus, the configurations always have been prioritized based on domain knowledge but not much attention has been paid to feature model notations. In this paper, we proposed the usage of mandatory and optional notations for similarity distances. The objective is to improve the average percentage of faults detected (APFD). We investigate four different distances and make modifications on the distances to increase APFD value. These modifications are the inclusion of mandatory and optional notations with the similarity distances. The results are the APFD values for all the similarity distances including the original and modified similarity distances. Overall, the results shown that by subtracting the optional notation value can increase the APFD by 3.71% from the original similarity distance. Institute of Advanced Engineering and Science 2018-09 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/84557/1/SafwanAbdRazak2018_EnhancingSimilarityDistancesUsingMandatory.pdf Abd. Razak, Safwan and Isa, Mohd. Adham and Jawawi, Dayang N. A. (2018) Enhancing similarity distances using mandatory and optional forearly fault detection. Indonesian Journal of Electrical Engineering and Computer Science, 11 (3). pp. 1194-1203. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/13479
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abd. Razak, Safwan
Isa, Mohd. Adham
Jawawi, Dayang N. A.
Enhancing similarity distances using mandatory and optional forearly fault detection
description Software Product Line (SPL) describes procedures, techniques, and tools in software engineering by using a common method of production for producing a group of software systems that identical from a shared set of software assets. In SPL, the similarity-based prioritization can resemble combinatorial interaction testing in scalable and efficient way by choosing and prioritize configurations that most dissimilar. However, the similarity distances in SPL still not so much cover the basic detail of feature models which are the notations. Plus, the configurations always have been prioritized based on domain knowledge but not much attention has been paid to feature model notations. In this paper, we proposed the usage of mandatory and optional notations for similarity distances. The objective is to improve the average percentage of faults detected (APFD). We investigate four different distances and make modifications on the distances to increase APFD value. These modifications are the inclusion of mandatory and optional notations with the similarity distances. The results are the APFD values for all the similarity distances including the original and modified similarity distances. Overall, the results shown that by subtracting the optional notation value can increase the APFD by 3.71% from the original similarity distance.
format Article
author Abd. Razak, Safwan
Isa, Mohd. Adham
Jawawi, Dayang N. A.
author_facet Abd. Razak, Safwan
Isa, Mohd. Adham
Jawawi, Dayang N. A.
author_sort Abd. Razak, Safwan
title Enhancing similarity distances using mandatory and optional forearly fault detection
title_short Enhancing similarity distances using mandatory and optional forearly fault detection
title_full Enhancing similarity distances using mandatory and optional forearly fault detection
title_fullStr Enhancing similarity distances using mandatory and optional forearly fault detection
title_full_unstemmed Enhancing similarity distances using mandatory and optional forearly fault detection
title_sort enhancing similarity distances using mandatory and optional forearly fault detection
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.utm.my/id/eprint/84557/1/SafwanAbdRazak2018_EnhancingSimilarityDistancesUsingMandatory.pdf
http://eprints.utm.my/id/eprint/84557/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/13479
_version_ 1662754274549956608
score 13.211869

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