Test Cases Minimization Strategy Based On Flower Pollination Algorithm
The phenomenon of exhaustive testing in software testing is hard to implement due to a huge number of test cases and time-consuming in order to find bugs. Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. An...
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ump-173262018-04-23T07:58:24Z http://umpir.ump.edu.my/id/eprint/17326/ Test Cases Minimization Strategy Based On Flower Pollination Algorithm Ho, Chai Har Al-Sewari, Abdul Rahman Ahmed Mohammed QA75 Electronic computers. Computer science The phenomenon of exhaustive testing in software testing is hard to implement due to a huge number of test cases and time-consuming in order to find bugs. Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. An adoption of optimization based t-way strategies and nonoptimization based t-way strategies have come across. This paper describes the adoption of Flower Pollination Algorithm (FPA) in order to minimize the test cases. The FPA inspired from the reproduction of flowers to find the best optimum results when compared to other methods. This strategy will be evaluated by several published benchmarking. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17326/1/403_408.pdf Ho, Chai Har and Al-Sewari, Abdul Rahman Ahmed Mohammed (2016) Test Cases Minimization Strategy Based On Flower Pollination Algorithm. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 403-408.. ISBN 978-967-2054-04-7 http://icecinno.ump.edu.my/index.php/en/documents/pdf-files/proceeding-2016/194-403-408 |
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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 Ho, Chai Har Al-Sewari, Abdul Rahman Ahmed Mohammed Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
description |
The phenomenon of exhaustive testing in
software testing is hard to implement due to a huge
number of test cases and time-consuming in order to
find bugs. Hence, a test cases minimization strategy is an
essential to obtain an optimize test cases and
consequently, time will also be reducing. An adoption of
optimization based t-way strategies and nonoptimization
based t-way strategies have come across.
This paper describes the adoption of Flower Pollination
Algorithm (FPA) in order to minimize the test cases. The
FPA inspired from the reproduction of flowers to find the
best optimum results when compared to other methods.
This strategy will be evaluated by several published
benchmarking. |
format |
Conference or Workshop Item |
author |
Ho, Chai Har Al-Sewari, Abdul Rahman Ahmed Mohammed |
author_facet |
Ho, Chai Har Al-Sewari, Abdul Rahman Ahmed Mohammed |
author_sort |
Ho, Chai Har |
title |
Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
title_short |
Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
title_full |
Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
title_fullStr |
Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
title_full_unstemmed |
Test Cases Minimization Strategy Based On Flower Pollination Algorithm |
title_sort |
test cases minimization strategy based on flower pollination algorithm |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/17326/ http://umpir.ump.edu.my/id/eprint/17326/ http://umpir.ump.edu.my/id/eprint/17326/1/403_408.pdf |
first_indexed |
2023-09-18T22:23:50Z |
last_indexed |
2023-09-18T22:23:50Z |
_version_ |
1777415834478575616 |