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• W3163474313 abstract "Testing Technical Debt (TTD) occurs due to shortcuts (non-optimal decisions) taken about testing; it is the test dimension of technical debt. R is a package-based programming ecosystem that provides an easy way to install third-party code, datasets, tests, documentation and examples. This structure makes it especially vulnerable to TTD because errors present in a package can transitively affect all packages and scripts that depend on it. Thus, TTD can effectively become a threat to the validity of all analysis written in R that rely on potentially faulty code. This two-part study provides the first analysis in this area. First, 177 systematically-selected, open-source R packages were mined and analysed to address quality of testing, testing goals, and identify potential TTD sources. Second, a survey addressed how R package developers perceive testing and face its challenges (response rate of 19.4%). Results show that testing in R packages is of low quality; the most common smells are inadequate and obscure unit testing, improper asserts, inexperienced testers and improper test design. Furthermore, skilled R developers still face challenges such as time constraints, emphasis on development rather than testing, poor tool documentation and a steep learning curve." @default.
• W3163474313 created "2021-05-24" @default.
• W3163474313 creator A5001255062 @default.
• W3163474313 date "2021-05-01" @default.
• W3163474313 modified "2023-10-03" @default.
• W3163474313 title "Evaluating Unit Testing Practices in R Packages" @default.
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• W3163474313 doi "https://doi.org/10.1109/icse43902.2021.00136" @default.
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