Implementing a T-Way Test Generation Strategy Using Bees Algorithm

Implementing a T-Way Test Generation Strategy Using Bees Algorithm

In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly cust...

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Bibliographic Details
Main Authors: Mohd Hazli, Mohamed Zabil, Kamal Z., Zamli
Format: Article
Language:English
Published: Soft Computing Research Group,UTM Malaysia (SCRG Publication) 2013
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/5796/
http://umpir.ump.edu.my/id/eprint/5796/
http://umpir.ump.edu.my/id/eprint/5796/1/Paper60-Mohd-Hazli-Mohamed-Zabil.pdf
id ump-5796
recordtype eprints
spelling ump-57962018-01-16T01:48:30Z http://umpir.ump.edu.my/id/eprint/5796/ Implementing a T-Way Test Generation Strategy Using Bees Algorithm Mohd Hazli, Mohamed Zabil Kamal Z., Zamli QA75 Electronic computers. Computer science In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly customizable software allow users to configure the software to the users’ needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). Soft Computing Research Group,UTM Malaysia (SCRG Publication) 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5796/1/Paper60-Mohd-Hazli-Mohamed-Zabil.pdf Mohd Hazli, Mohamed Zabil and Kamal Z., Zamli (2013) Implementing a T-Way Test Generation Strategy Using Bees Algorithm. International Journal of Advances in Soft Computing and Its Application (Int. J. Advance Soft Compu. Appl.), 5 (3). pp. 116-126. ISSN 2074-8523 http://home.ijasca.com/data/documents/Paper60-Mohd-Hazli-Mohamed-Zabil.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd Hazli, Mohamed Zabil
Kamal Z., Zamli
Implementing a T-Way Test Generation Strategy Using Bees Algorithm
description In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly customizable software allow users to configure the software to the users’ needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength).
format Article
author Mohd Hazli, Mohamed Zabil
Kamal Z., Zamli
author_facet Mohd Hazli, Mohamed Zabil
Kamal Z., Zamli
author_sort Mohd Hazli, Mohamed Zabil
title Implementing a T-Way Test Generation Strategy Using Bees Algorithm
title_short Implementing a T-Way Test Generation Strategy Using Bees Algorithm
title_full Implementing a T-Way Test Generation Strategy Using Bees Algorithm
title_fullStr Implementing a T-Way Test Generation Strategy Using Bees Algorithm
title_full_unstemmed Implementing a T-Way Test Generation Strategy Using Bees Algorithm
title_sort implementing a t-way test generation strategy using bees algorithm
publisher Soft Computing Research Group,UTM Malaysia (SCRG Publication)
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/5796/
http://umpir.ump.edu.my/id/eprint/5796/
http://umpir.ump.edu.my/id/eprint/5796/1/Paper60-Mohd-Hazli-Mohamed-Zabil.pdf
first_indexed 2023-09-18T22:01:11Z
last_indexed 2023-09-18T22:01:11Z
_version_ 1777414409204793344

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