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Optimization of Test Case Allocation Scheme in Program Partition Testing

EasyChair Preprint no. 3424

10 pagesDate: May 16, 2020


Abstract: The issue of testing of the program in the aspect of comparing the effectiveness of random testing and partitioning testing was considered in this paper. However, unlike other works on this subject, the term partition does not refer directly to a specific subset of the program input domain, but to a fragment of the program, which is a specific set of paths, leading from the beginning of the program to its end, where each path belongs to exactly one of the subsets of paths. A formal model of the program under the testing is presented. This model is based on the notion of a control flow graph. The relationship between faults and failures is characterizes by means so called the characteristic matrix of the program under testing. The main result of the paper is obtaining formulae for the mean value of the number of faults encountered during the random testing and program partition testing . The formulation of the single-criterion optimization task which allows the determination of a testing strategy that maximizes the expected value of the number of program faults is also formulated. Considerations are illustrated with a simple numerical example.

Keyphrases: Random and partition testing, software reliability, software testing

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kazimierz Worwa},
  title = {Optimization of Test Case Allocation Scheme in Program Partition Testing},
  howpublished = {EasyChair Preprint no. 3424},

  year = {EasyChair, 2020}}
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