Method and system for creating functional model of test cases
a functional model and test case technology, applied in the field of testing, can solve the problems of not discovering bugs, prone to bugs in computerized devices, and difficult to design computerized devices at the testing phase,
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[0058]Test case A contains the phrases “coupling facility”; “backup”
[0059]Test case B contains the phrases “coupling facility”; “redundancy”
[0060]Tags for test case A: COUPLING_FACILITY, BACKUP
[0061]Tags for test case B: COUPLING_FACILITY, REDUNDANCY
[0062]Meta tag (maps to a concept): All test cases matching the search phrase COUPLING_FACILITY AND (BACKUP OR REDUNDANCY) will be tagged via the tag COPULING_FACILITY_RESILIENCY
[0063]When a new defect fix comes in, having to do with coupling facility resiliency, the matching tags can be automatically applied.
[0064]The identification of the concept for the incoming defect can also be automated, for example via searching for the terms underlying the concept tag (in this case ‘coupling facility’ AND (backup OR redundancy)
[0065]The disclosed subject matter may be used as a method for semi-automatically assisting users in making informal concepts explicit. The concepts are captured to a level in which actions can be based on them. An example...
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[0075]In some exemplary embodiments, the clustering may be able to identify test cases which appear to perform similar actions on similar objects. The user could easily assert with a high confidence level that the test cases belonging to a cluster are related without having to read the entire free-text. Using statistics about the cluster's “closeness” and reading a select few test cases may be sufficient to comprehend the nature of the test cases of the cluster. Depending on the number and size of the clusters, this may even reduce the necessary work by an order of magnitude.
[0076]Our clustering solution assumes that each test cases may be decomposed into steps—assumption which is valid most of the time. As an example, each line may be considered as a step. Additionally or alternatively, each step may be numbered in the free-text.
[0077]The clustering utilizes a metric for comparing how close / far any two test cases are based on a custom metric:
[0078]First, the unique steps in all tes...
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