On the influence of Test Smells on Test Coverage

The tests are part of the software quality assurance process, however, they do not have a quality check layer above, ie, there are no tests for the tests, which makes it difficult to guarantee the quality of the tests and for consequence of the software. However, the coverage metric can be applied to the test to measure its effectiveness. Even with high coverage, tests may have poor design choices, called \ textit {test smells}. The aim of this research is to conduct a quantitative study to analyze possible correlations between test coverage, test size and quantification and typing of test smells. Therefore, some improvements have been made to the Test Smell Detector tool, which we applied in eleven open source projects to obtain the search database. The R language and correlation tests were used to analyze the data. From the exploration of the data, the research shows that there is little or no relationship between coverage and quantity of test smell, between coverage and lines of code, but on the other hand, there is a strong relation between number of smells and the size of the test. In addition to the research to make contributions regarding the detection of smells, the data presented can help in a better understanding of the behavior of these bad choices in the test codes