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What is the time complexity (big O notation) of white-box and black-box testing?

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Wroking in IT industry from last 15 years and and trained more than 5000+ Students. Conact ME

White-box testing: Complexity varies with code structure. Black-box testing: Complexity depends on input/output space, often O(n).
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Wroking in IT industry from last 15 years and and trained more than 5000+ Students. Conact ME

White-box testing: Depends on code paths, often O(n) or O(m), where n is code paths, m is nodes. Black-box testing: Depends on input space size, often O(n), where n is the number of test cases.
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

The time complexity of white-box and black-box testing can vary significantly based on the specifics of the software being tested and the thoroughness of the testing process. White-box testing involves examining the internal structure and workings of the software. The time complexity can be influenced...
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The time complexity of white-box and black-box testing can vary significantly based on the specifics of the software being tested and the thoroughness of the testing process. White-box testing involves examining the internal structure and workings of the software. The time complexity can be influenced by factors such as the size of the codebase, the complexity of the algorithms, and the number of paths through the code that need to be tested. Generally, the time complexity can be approximated as: Best Case: \(O(n)\) - If the code is straightforward with minimal branching. Worst Case: \(O(2^n)\) - If the code has many conditional branches and loops, leading to an exponential number of paths to test. Black-box testing focuses on testing the software's functionality without considering its internal structure. The time complexity here depends on the number of input combinations and the complexity of the software's functionality. Typically, the time complexity can be approximated as: Best Case: \(O(1)\) - If the software has a simple interface with minimal input combinations. Worst Case: \(O(n^2)\) - If the software has a large number of input combinations and complex interactions. These are general approximations, and the actual time complexity can vary based on the specific context and implementation of the testing process. read less
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