21⟩ How much testing is enough in test analysis?
It depends on the risks, contract and special requirements.
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It depends on the risks, contract and special requirements.
Failure is the deviation from expected result to actual result for the test analyst.
A. Technology factors such as complexity and availability of tools
B. Potential conflicts between stakeholders
C. Large number of defects found with the reliability of the software
A. Developers
A. It requires setting each atomic condition to true and false, but does not require the resulting decision to be tested with both true and false outcomes.
A. 1 and 4
A. 3, 4, 5, 7
A. All the sets are needed
A. 2, 3
A. incorrect data handling
B. timing problems
C. loss of transactions
A. Multiple Condition coverage
A. The TRICKY program contains unreachable code and an infinite loop
A. total: line 6; commission_lo: line 12; commision_hi: line 15
A. Establishing the number of locations within the software from where a module or system is called.
A. Dynamic analysis could identify memory access violations caused by a wild pointer that result in the occasional 'crashes'.
A. Testing data encryption
Exploratory testing is a hands-on approach in which testers are involved in minimum planning and maximum test execution. The planning involves the creation of a test charter, a short declaration of the scope of a short (1 to 2 hour) time-boxed test effort, the objectives and possible approaches to be used. The test design and test execution activities are performed in parallel typically without formally documenting the test conditions, test cases or test scripts. This does not mean that other, more formal testing techniques will not be used. Some notes will be written during the exploratory-testing session, so that a report can be produced afterwards.
White-box testing techniques use the internal structure of the software to derive test cases. They are commonly called 'glass-box' techniques (implying you can see into the system) since they require knowledge of how the software works.
Decision table testing is used for testing systems for which the specification takes the form of rules or cause-effect combinations. In a decision table the inputs are listed in a column with the outputs in the same column but below the inputs. The remainder of the table explores combinations of inputs to define the outputs produced.
Component testing, also known as unit, module and program testing, searches for defects in and verifies the functioning of software (e.g. modules, programs, objects, classes etc.) that are able to be tested separately. Component testing may be done in isolation from the rest of the system depending on the context of the development life cycle and the system.