Govorushchenko T. Software testing process reliability increasing on basis of neurоnet information technologies

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0407U004086

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

11-10-2007

Specialized Academic Board

Д35.052.14

Essay

Dissertation is dedicated to the decision of actual scientific and technical task - software testing process reliability increasing by ANN using. In dissertation conceptual model of software testing reliability increasing at the expense of hidden software mistakes identification by repeated software testing was developed. Category neuronet model of repeated software testing process, which take into account influence of previous category hidden mistakes on appearance of next category hidden mistakes, was received. Software hidden mistakes identification neuronet technique, which differs from previous techniques that, what entrance information about basic testing results being operated on artificial neural network (ANN), was developed. Technique of evaluation of software hidden mistakes identification reliability, which takes into account finding hidden mistakes quantity of different category levels and gives a chance to deter-mine software testing process reliability increase in comparison with findinghidden mistakes quantity non-considering, was improved.

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