20240055304. Method and device for optimizing an amount of testing with respect to a total test time simplified abstract (Robert Bosch GmbH)
Method and device for optimizing an amount of testing with respect to a total test time
Organization Name
Inventor(s)
Sebastian Bayer of Schoenaich (DE)
Michel Janus of Kirchentellinsfurt (DE)
Method and device for optimizing an amount of testing with respect to a total test time - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240055304 titled 'Method and device for optimizing an amount of testing with respect to a total test time
Simplified Explanation
The method described in the patent application is for determining a reduced first amount of testing from a second amount of testing. The method involves the use of a binary matrix and optimization of a cost function that depends on test variables. Each test in the second amount of testing is associated with a test variable that indicates whether the test is relevant. The cost function includes constraints such as ensuring the result of a matrix/vector multiplication is greater than or equal to a vector of ones, and that the test variables are binary.
- The method involves using a binary matrix and optimizing a cost function based on test variables.
- Each test in the second amount of testing is associated with a test variable that determines its relevance.
- Constraints in the cost function ensure certain conditions are met, such as the result of matrix/vector multiplication being greater than or equal to a vector of ones.
- The test variables are binary, further defining the constraints of the cost function.
Potential applications of this technology:
- Quality assurance in software testing
- Streamlining testing processes in manufacturing
- Optimizing medical diagnostic testing
Problems solved by this technology:
- Reducing unnecessary testing
- Saving time and resources in testing procedures
- Improving efficiency in identifying relevant tests
Benefits of this technology:
- Cost savings through reduced testing
- Faster decision-making based on relevant test results
- Improved accuracy in test selection and execution
Original Abstract Submitted
a method is for determining a reduced first amount of testing from a second amount of testing. the method includes provision of a binary matrix, and optimization of a cost function, which is dependent on test variables. each of test of the second amount of testing is associated with a test variable, and the test variable characterizes whether the test is relevant. the cost function defines constraints: a first constraint is defined in that a result of a matrix/vector multiplication must be greater than or equal to a vector comprising only ones. the matrix of the matrix/vector multiplication is a matrix whose entries all have the value one. the entries of the binary matrix are subtracted, and the vector of matrix/vector multiplication is a vector comprising the test variables. a second constraint is defined in that the test variables are binary.
