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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | 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 |
| Summary: | 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. |
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