Detecção de smells em testes automatizados em diferentes linguagens de programação

Abstract

Software testing is important for any digital product under development or already in use. It serve as a guarantee that the system is working as expected and that any maintenance or creation of new functionalities will not interfere with the current system operation. Automated tests and test script development are very common in the software industry. However, just like production codes, the writing of automated tests can also contain bad design, negatively affecting quality, as known as test smells. The identification of these smells by developers is not trivial, which leads to the use of tools for this. In the research conducted, it was seen that, although there are many tools for identifying smells, there is not a certain diversity in terms of supported languages, besides to the need to develop new tools for each language or automated test frameworks. The present work aims to present a single tool for identifying test smells with support for different languages and frameworks for developing automated tests. With this, it is intended to remedy the need for lack of support and rework with the creation of new tools for the same goal.