Pairwise testing tools based on hill climbing algorithm (PTCA)

Failure in software can cause serious damage and because of this it is essential to test the software thoroughly. Software testing is the activity to find the defects in the components or systems. The main problem in software testing is to test the system exhaustively as it is impossible to do so. T...

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Main Author: Lim, Seng Kee
Format: Undergraduates Project Papers
Language:English
Published: 2014
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Online Access:http://umpir.ump.edu.my/id/eprint/12045/1/LIM%20SENG%20KEE.PDF
http://umpir.ump.edu.my/id/eprint/12045/
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spelling my.ump.umpir.120452021-02-02T02:29:09Z http://umpir.ump.edu.my/id/eprint/12045/ Pairwise testing tools based on hill climbing algorithm (PTCA) Lim, Seng Kee QA76 Computer software Failure in software can cause serious damage and because of this it is essential to test the software thoroughly. Software testing is the activity to find the defects in the components or systems. The main problem in software testing is to test the system exhaustively as it is impossible to do so. To reduce the test cases generated during testing process, combinatorial algorithms which consisting Hill Climbing algorithm and T Way Combination algorithm as described in twayGenerator (Kamal Zuhairi Zamli, 2007) have been studied and reviewed. The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. Assumptions have been made for the program. Several experiments were conducted included demonstrating the correctness of the algorithms, demonstrate PTCA successful in reducing test suite size, and benchmarking PTCA against existing strategies in order to prove PTCA achieved its objectives. Based on the experimental results, PTCA has successful in reducing the test size. 2014-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12045/1/LIM%20SENG%20KEE.PDF Lim, Seng Kee (2014) Pairwise testing tools based on hill climbing algorithm (PTCA). Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Lim, Seng Kee
Pairwise testing tools based on hill climbing algorithm (PTCA)
description Failure in software can cause serious damage and because of this it is essential to test the software thoroughly. Software testing is the activity to find the defects in the components or systems. The main problem in software testing is to test the system exhaustively as it is impossible to do so. To reduce the test cases generated during testing process, combinatorial algorithms which consisting Hill Climbing algorithm and T Way Combination algorithm as described in twayGenerator (Kamal Zuhairi Zamli, 2007) have been studied and reviewed. The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. Assumptions have been made for the program. Several experiments were conducted included demonstrating the correctness of the algorithms, demonstrate PTCA successful in reducing test suite size, and benchmarking PTCA against existing strategies in order to prove PTCA achieved its objectives. Based on the experimental results, PTCA has successful in reducing the test size.
format Undergraduates Project Papers
author Lim, Seng Kee
author_facet Lim, Seng Kee
author_sort Lim, Seng Kee
title Pairwise testing tools based on hill climbing algorithm (PTCA)
title_short Pairwise testing tools based on hill climbing algorithm (PTCA)
title_full Pairwise testing tools based on hill climbing algorithm (PTCA)
title_fullStr Pairwise testing tools based on hill climbing algorithm (PTCA)
title_full_unstemmed Pairwise testing tools based on hill climbing algorithm (PTCA)
title_sort pairwise testing tools based on hill climbing algorithm (ptca)
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/12045/1/LIM%20SENG%20KEE.PDF
http://umpir.ump.edu.my/id/eprint/12045/
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score 13.154949