Path Sensitizing
Review: Achievable and Unachievable Paths:
- We want to select and test enough paths to achieve a satisfactory notion of test completeness, such as C1 + C2
- Extract the programs control flow graph and select a set of tentative covering paths
- For any path in that set, interpret the predicates along the path as needed to express them in terms of the input vector
- In general, individual predicates are compound or may become compound as a result of interpretation
- Trace the path through by multiplying the individual compound predicates to achieve a Boolean expression such as
- Multiply the expression to achieve a sum of products form:
- Each product term denotes a set of inequalities, that if solved will yield an input vector that will drive the routine along the designated path
- Solve any one of the inequality sets for the chosen path, and you have found a set of input values for the path
- If you can find a solution, the the path is achievable
- If you cannot find a solution, then the path is achievable
- If you cannot find a solution to any of the sets of inequalities, the path is not achievable
- The act of finding a set of solutions to the path predicate expression is called path sensitization
Heuristic Procedures for Sensitizing Paths:
- This is a workable approach, instead of selecting the paths without considering how to sensitize, attempt to choose a covering path set that is easy to sensitize and pick hard to sensitize paths only as you must to achieve coverage
- Identify all variables that affect the decision
- Classify the predicates as dependent or independent
- Start the path selection with uncorrelated, independent predicates
- If coverage has not been achieved using independent uncorrelated predicates, extend the path set using correlated predicates
- If coverage has not been achieved, extend the cases to those that involve dependent predicates
- Finally, use correlated and dependent predicates
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