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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Investigating Severity Thresholds for Test Smells |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 9781450375177 |
| Page Range | 311 - 321 |
| Event Title | MSR '20: 17th International Conference on Mining Software Repositories |
| Event Type | conference |
| Event Location | Seoul Republic of Korea |
| Event Start Date | July 29 - 2020 |
| Event End Date | July 30 - 2020 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Abstract Text | Test smells are poor design decisions implemented in test code, which can have an impact on the effectiveness and maintainability of unit tests. Even though test smell detection tools exist, how to rank the severity of the detected smells is an open research topic. In this work, we aim at investigating the severity rating for four test smells and investigate their perceived impact on test suite maintainability by the developers. To accomplish this, we first analyzed some 1,500 open-source projects to elicit severity thresholds for commonly found test smells. Then, we conducted a study with developers to evaluate our thresholds. We found that (1) current detection rules for certain test smells are considered as too strict by the developers and (2) our newly defined severity thresholds are in line with the participants' perception of how test smells have an impact on the maintainability of a test suite. Preprint [https://doi.org/10.5281/zenodo.3744281], data and material [https://doi.org/10.5281/zenodo.3611111]. |
| Digital Object Identifier | 10.1145/3379597.3387453 |
| Other Identification Number | merlin-id:20223 |
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