Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference Information Technology and Nanotechnology. Session Data Science, ITNT-DS 2020; Samara; Samara
Год издания: 2020
Ключевые слова: genetic algorithm, Metrics of asserting code complexity, test data generation
Аннотация: This article proposes a comparison of methods for determining code complexity when generating data sets for software testing. The article offers the results of a study for evaluating one path of program code, the work is not finished yet, it will be further expanded to select data for testing many paths. To solve the problem of genПоказать полностьюerating test data sets, it is proposed to use a genetic algorithm with various metrics for determining the complexity of program code. A new metrics is proposed for determining code complexity based on changing weights of nested operations. The article presents the results and comparison of the generated input test data for the passage along the critical path. For each metric considered in the article, conclusions are presented to identify specifics depending on the selected data.
Журнал: CEUR Workshop Proceedings
Выпуск журнала: 2667
Номера страниц: 299-304