It also creates some test cases to increase coverage and determining a quantitative measure of code coverage. 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. That’s why there are many different methods of reporting this metric.
It also checks how many sequences are included in a finite state machine. 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. As one might expect, there are classes of software that cannot be feasibly subjected to these coverage tests, though a degree of coverage mapping can be approximated through analysis rather than direct testing.
This is reflected in the Modified Condition/Decision Coverage (MC/DC) which is a combination of condition coverage and function coverage. However, this set of tests does not satisfy branch coverage since neither case will meet the if condition. I would have thought basic condition coverage would be costlier. I understand that multiple condition coverage is difficult to achieve with short circuit logical operators, but I am not sure whether this is related to the comparison. Scenario to calculate Statement Coverage for given source code.
In the example above, you’d need eight tests, one for each possible combination of possible values of a, b and c, to get full compound condition coverage. Software authors can look at test coverage results to devise additional tests and input or configuration sets to increase the coverage over vital functions. Two common forms of test coverage are statement (or line) coverage and branch (or edge) coverage.
The goal of Statement coverage is to cover all the possible path’s, line, and statement in the code. 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. Unlike plain condition coverage the MCC metric deals with all combinations of conditions that influence a decision. That would be quite a lot of tests, but some of those are redundant as some conditions are covered by others.
In this coverage, expressions with logical operands are only considered. The target software is built with special options or libraries and run under a controlled environment, to map every executed function to the function points in the source code. This allows testing parts of the target software that are rarely or never accessed under normal conditions, and helps reassure that the most important conditions (function points) have been tested.
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. A less aggressively optimized set of test cases for basic condition coverage would have one test multiple condition coverage case where all three basic conditions are false and three test cases with a different basic condition true in each. That would still only be four of the eight possible combinations of basic conditions in the compound condition. The uncomfortable feeling that we’re ignoring the other four is why there’s compound condition coverage. That requires a test for each possible combination of basic conditions in a compound condition.
Statement Coverage is a white box testing technique in which all the executable statements in the source code are executed at least once. It is used for calculation of the number of statements in source code which have been executed. The main purpose of Statement Coverage is to cover all the possible paths, lines and statements in source code. In software engineering, code coverage is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run.
According to Multiple Condition Coverage criteria, all combinations of True and False values of conditions must be covered. The test basis consists of decision tables, pseudo-code, a process description or other (functional) descriptions, in which conditions occur. Finite state machine coverage is certainly the most complex type of code coverage method. In this coverage method, you need to look for how many time-specific states are visited, transited.
For example, if the outcomes are binary, you need to test both True and False outcomes. Assume this function is a part of some bigger program and this program was run with some test suite. According to this explanation, there are 4 test cases for 2 conditions.