Novel fuzzy approach for ranking test vectors

Abstract

Software testing is essential part of the software development especially when the software has safety critical classification. In this paper authors introduce a method for select the right values and ranges for unit and functional testing. The key feature of this novel approach is that, test vectors can be ranked before selection in order to gain test time or quality. Fuzzy set theory is used for the ranking of the test sets. The introduced method presented on a example code, which helps the understanding of its basic principals. The authors take notes on the implementation of the test vector generation. Directions of further research are also discussed.