International Journal of Embedded Systems and Applications· 2012
Black Box and White Box Testing Techniques - A Literature Review
- 433citations
- 2012year
Short summary
This literature review synthesizes black box and white box testing techniques, demonstrating their application with an insurance premium calculation example.
AI-generated from the title and abstract; the full text is not read.
Key points
- Existing automatic test case generation techniques often require understanding a program's internal workings.
- The paper reviews and synthesizes both black box and white box testing methodologies.
- An insurance premium calculation case study is used to derive test cases and data for various techniques.
- Specific white box techniques covered include branch, statement, and condition coverage.
- Specific black box techniques covered include equivalence partitioning and boundary value analysis.
AI-generated from the title and abstract; the full text is not read.
Abstract
There are several methods for automatic test case generation has been proposed in the past. But most of these techniques are structural testing techniques that require the understanding of the internal working of the program. There is less practical coverage of all testing techniques together. In this paper we conducted a literature study on all testing techniques together that are related to both Black and White box testing techniques, moreover we assume a case situation of Insurance premium calculation for driver and we derive the test cases and test data for white box testing methods such as Branch testing, Statement testing, Condition Coverage testing, multiple condition coverage testing, in the similar way we derive the test cases and test data for the black box testing methods such as: Equivalence partitioning and Boundary value analysis.
The authors' abstract, as published at the source. International Journal of Embedded Systems and Applications, 2012 · DOI ↗
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Field: Software
SoftwareComputer Science