15 citations · 18 across the 6 of their papers we have counts for
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cs.SE2024★ 1 cited
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…
cs.SE2024★ 15 cited
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…