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Data collected in the study "How are test smells treated in the wild? A tale of two empirical studies". Abstract: Developing test code may be a time-consuming process that usually requires much effort and cost, especially when done manually. Besides, during this process, developers and testers are likely to adopt bad design choices, which may lead to the introduction of the socalled test smells in the test code. As the test code with test smells increases in size, these tests might become more complex, and as a consequence, much more challenging to understand and evolve them correctly. Therefore, test smells may have a negative impact on the test code quality and maintenance and may also harm the whole software testing activities. In this context, this study aims to understand whether software testing practitioners unintentionally insert test smells when they implement test code. We first carried out an expert survey to analyze the usage frequency of a set of test smells and then interviews to reach a deeper understanding of how practitioners deal with test smells. Sixty professionals participated in the survey, and fifty professionals participated in the interview. The yielded results indicate that experienced professionals introduce test smells during their daily programming tasks, even when using their companies’ standardized practices. Additionally, test development and quality improvement are usually supported by tools, but most interviewees are test smells unaware.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 20 |

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