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Testing DPV

 

As mentioned before, the practical part of this thesis  was a black box test  applied on DPV . Some of this tests will be explained for each tested module here. Only the implemented features  will be discussed, other weaknesses of the program , like suboptimal designs -- for instance an update inconsistency in the table diabetik --  will be ignored, because they have already been discussed in [Schmid93]. Due to the lack of correctness checks in a lot of entry fieldsgif, it has also been refrained from using impossible inputs. Last, but not least, some restrictionsgif were accepted which were necessary due to performance  reasons.

It is definitely true that all tests  done have to be written down, however, it would be beyond the scope of this chapter to present all tests done, and so only the interesting or successful ones are described.

Due to these considerations, this chapter has the following structure: First some rather general information about the tests done will be given. After this for each statistical feature of DPV, more details will be presented in the following order:  

Specification:
  The features  of the appropriate module are explained in the way they are defined in the manual . In addition to the recapitulation of the information given in the last chapter, the way the statistics are supposed to be computed is explained.

The Tests
which did disclose a fault or were typical for the tested module are explained.  

Results:
A short summary of the outcome of the executed tests is given. A longer summarization can be found in section gif on page gif.   





Ingo Melzer
Mon Aug 5 15:12:01 MET DST 1996