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|---|---|---|---|
| 001 | vtls000099192 | ||
| 003 | KUKTEM | ||
| 005 | 20251117113335.0 | ||
| 008 | 170419t2016 my a f am 000 0 eng d | ||
| 020 | _aTHE0001136(Local) | ||
| 039 | 9 |
_a201905141136 _bnazirah _y201704191504 _zsaini |
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| 040 | _aUMP | ||
| 090 | _aFSKKP .H63 2016 r Bc. | ||
| 100 | 1 | _aHo, Chai Har | |
| 245 | 1 | 0 |
_aTest cases minimization strategy based on optimization approach (MS-OA) / _cHo Chai Har |
| 260 |
_aKuantan, Pahang : _bUMP, _c2016 |
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| 300 |
_axv, 107 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM |
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| 500 | _aFaculty of Computer Systems and Software Engineering | ||
| 502 | _aProject paper (Bachelor of Computer Science (Software Engineering) With Honours) -- Universiti Malaysia Pahang – 2016 | ||
| 504 | _aBibliography : p. 102-106 | ||
| 520 | 3 | _aThe 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 (t is the degree of the system parameter combination) such as Genetic Algorithm, Harmony Search Algorithm, Ant Colony Optimization and others have come across. Besides, non-optimization based t-way strategies such as TVG, Jenny, IPOG and WITCH have also been involved. Although, the existence of both t-way strategies is being used and discussed, however, the major objective of this study is to propose a new test case minimization strategy based on optimization approach which is Flower Pollination Algorithm (FPA). The analytical and experimental findings evaluate the performance of the proposed strategy with existing combinatorial testing strategies. The research findings that have been obtained from the evaluation indicated that FPA able to reduce a large number of test cases. On the basis of the findings of this research, it can be concluded that the FPA has the potential to optimize the number of test cases compared to others t-way strategies no matter is optimization based or non-optimization based. | |
| 610 | 2 | 0 |
_aFaculty of Computer Systems and Software Engineering _xDissertations |
| 650 | 0 |
_aUniversities and Colleges _xDissertations |
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| 650 | 0 | _aTheses | |
| 999 |
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