Usando Funções de Similaridade para Redução de Conjuntos de Casos de Teste em Estratégias de Teste Baseado em Modelos

Emanuela G. CartaxoPatricia D. L. MachadoFrancisco G. Oliveira NetoJoão Ouriques

The use of similarity functions for test suite reduction is investigated in this work. The focus is on automatically generated functional test cases from models. In general, test case generation strategies produce large test suites with a considerable number of redundant test cases, causing an unnecessary and non-significant increase in the test case generation and execution costs. The main goal of reduction based on similarity functions is to produce a smaller test suite that has the less similar test cases with a more effective coverage of functionalities. The considered similarity strategies are compared with random selection, according to two criteria: transition coverage and fault coverage.

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