According to Multiple Condition Coverage criteria, all combinations of True and False values of conditions must be covered. Condition coverage is correlated to decision coverage as whenever any decision is to be taken, focus will be on number of possible conditions. In order to suffice valid condition coverage for this pseudo-code following tests will be sufficient.
The test basis consists of decision tables, pseudo-code, a process description or other (functional) descriptions, in which conditions occur. The conditions and the results are put into a decision table. It is also called glass box testing or clear box testing or structural testing. White Box Testing is also known as transparent testing or open box testing. Fault injection may be necessary to ensure that all conditions and branches of exception-handling code have adequate coverage during testing.
Types of Functional
Unlike Condition Coverage a) all possible combinations and b) the decision outcomes are considered. The number of possible combinations can ‘explode’ in light of big numbers of conditions. To mitigate this problem the Modified Condition/Decision Coverage metric was created. In any decision, there are some possible number of conditions, which can be examined and evaluated by applying Boolean Expression as expressed above. The statements marked in yellow color are those which are executed as per the scenario.
- For instance, path coverage implies decision, statement and entry/exit coverage.
- But overall if you see, all the statements are being covered by both scenarios.
- White box testing is a software testing technique that involves testing the internal structure and workings of a software application.
- White box testing is also known as structural testing or code-based testing, and it is used to test the software’s internal logic, flow, and structure.
- According to Multiple Condition Coverage criteria, all combinations of True and False values of conditions must be covered.
- According to this explanation, there are 4 test cases for 2 conditions.
Condition coverage and predicate coverage are code coverage metrics used in software testing to assess the thoroughness of test cases. They both focus on measuring how well the tests exercise the code, but they have different goals and criteria. Generally in any software, if we look at the source code, there will be a wide variety of elements like operators, functions, looping, exceptional handlers, etc.
Relation to Other Metrics
Condition/decision coverage requires that both decision and condition coverage be satisfied. However, for safety-critical applications (such as avionics software) it is often required that modified condition/decision coverage (MC/DC) be satisfied. This criterion extends condition/decision criteria with requirements that each condition should affect the decision outcome independently.
Let’s understand this with an example, how to calculate statement coverage. Part of this decision should be based on how risky you think that code will be. If it’s somewhat stable, and won’t change much, you should consider focusing your testing efforts elsewhere.
Example of decision coverage
The extra effort usually makes this not worth the very very small payoff, so I wouldn’t recommend this. In the MCC coverage metric, all statements must be executed and all combinations of truth values in each decision must occur at least once to reach full coverage. The coverage of a program is the number of executed statement blocks and condition combinations divided by their total number in the program. So strive to find the best way to spend the limited time you have. E.g. if you have another important method with 0% coverage, it may be better to write a couple of unit tests to cover that one, rather than to add extra tests for this method.
Condition coverage is seen for Boolean expression, condition coverage ensures whether all the Boolean expressions have been evaluated to both TRUE and FALSE. But overall if you see, all the statements are being covered by both scenarios. In White Box Testing, the tester is concentrating on how the software works. In other words, the tester will be concentrating on the internal working of source code concerning control flow graphs or flow charts. Generally, test coverage tools incur computation and logging in addition to the actual program thereby slowing down the application, so typically this analysis is not done in production.
Decision Coverage is a white box testing technique which reports the true or false outcomes of each boolean expression of the source code. The goal of decision coverage testing is to cover and validate all the accessible source code by checking and ensuring that each branch of every possible decision point is executed at least once. Condition coverage, also known multiple condition coverage as decision coverage or branch coverage, aims to ensure that each possible branch or decision point in the code is executed at least once during testing. It primarily focuses on the true and false outcomes of each decision point (if statements, loops, etc.). The goal is to make sure that every branch is taken and both the “true” and “false” conditions are tested.
Another handy way of filling in the decision table is with the use of the so called “Gray-code”. This causes only one condition to change in value per column. To fulfil condition coverage, Boolean expression X, Y and Z will be evaluated in TRUE and FALSE form, at least once.