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The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.
Basis path testing is for instance a method of achieving complete branch coverage without achieving complete path coverage. [ 15 ] Methods for practical path coverage testing instead attempt to identify classes of code paths that differ only in the number of loop executions, and to achieve "basis path" coverage the tester must cover all the ...
This article discusses a set of tactics useful in software testing.It is intended as a comprehensive list of tactical approaches to software quality assurance (more widely colloquially known as quality assurance (traditionally called by the acronym "QA")) and general application of the test method (usually just called "testing" or sometimes "developer testing").
Fault injection methods – intentionally introducing faults to gauge the efficacy of testing strategies; Mutation testing methods; Static testing methods; Code coverage tools can evaluate the completeness of a test suite that was created with any method, including black-box testing.
Boundary-value analysis is a software testing technique in which tests are designed to include representatives of boundary values in a range. The idea comes from the boundary . [ 1 ] Given that there is a set of test vectors to test the system, a topology can be defined on that set.
The condition/decision criterion does not guarantee the coverage of all conditions in the module because in many test cases, some conditions of a decision are masked by the other conditions. Using the modified condition/decision criterion, each condition must be shown to be able to act on the decision outcome by itself, everything else being ...
The method normally uses McCabe cyclomatic complexity to determine the number of linearly independent paths and then generates test cases for each path thus obtained. [2] Basis path testing guarantees complete branch coverage (all edges of the control-flow graph ), but achieves that without covering all possible paths of the control-flow graph ...
Branch prediction attempts to guess whether a conditional jump will be taken or not. Branch target prediction attempts to guess the target of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target prediction are often combined into the same circuitry.