15 citations · 16 across the 3 of their papers we have counts for
3 papers
Evaluating Large Language Models in Detecting Test Smells
Keila Lucas, Rohit Gheyi, Elvys Soares +2
Test smells are coding issues that typically arise from inadequate practices, a lack of knowledge about effective testing, or deadline pressures to complete projects. The presence…
A Catalog of Transformations to Remove Smells From Natural Language Tests
Manoel Aranda, Naelson Oliveira, Elvys Soares +6
Test smells can pose difficulties during testing activities, such as poor maintainability, non-deterministic behavior, and incomplete verification. Existing research has extensivel…
Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells
Elvys Soares, Manoel Aranda, Naelson Oliveira +7
Background: Test smells indicate potential problems in the design and implementation of automated software tests that may negatively impact test code maintainability, coverage, and…