Enhancing state-sensitivity partitioning technique by using prioritization approach
Software Testing is one of the activities in Software Quality Assurance to indicate the successfulness of a project. In dynamic software testing, greybox testing has been suggested to consider both white-box (structure-based testing) and black-box specification-based testing). State-Sensitivit...
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| 主要作者: | |
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2015
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| 主题: | |
| 在线阅读: | http://psasir.upm.edu.my/id/eprint/51693/1/FSKTM%202015%2036%20IR.pdf |
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| 总结: | Software Testing is one of the activities in Software Quality Assurance to
indicate the successfulness of a project. In dynamic software testing, greybox
testing has been suggested to consider both white-box (structure-based
testing) and black-box specification-based testing). State-Sensitivity-
Partitioning (SSP) is a new technique to generate test cases for grey-box
testing. The lengthy sequence with redundant data state makes the testing
process expensive and may lead to inefficiency. Thus, this research
proposed a prioritization approach in specifying and reordering the generated
SSP test cases to enhance the SSP technique. First, coverage-based
information which are code coverage, branch coverage, function coverage
and path coverage were collected. We apply a weighted method to calculate
the priority value for each test sequence based on the collected coverage
information. Test cases then are ranked based on the calculated priority
values and thus, a new prioritized SSP test suite is obtained. An experimental
study using mutation testing analysis is conducted to assess the efficiency of
the proposed test case prioritization method. The experimental study has
demonstrated that prioritization approach can enhance the efficiency of SSP
technique and achieved the purpose on this work. |
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