Abstract
In Experiment Accounting, the programming time was fixed for all the subjects, while in Experiments Submission and Smells&Library, the development time was measured by means of Eclipse plugin. One serious threat to the analysis performed in Chap. 5 is that the subjects in Experiments Submission and Smells&Library might have spent different times developing software in spite of the same deadlines. Therefore, an additional analysis of the impact of TF on the number of acceptance tests passed per hour (NATPPH), carried out in this section, is justified.
If it’s worth building, it’s worth testing.
If it’s not worth testing, why are you wasting your time working on it?
Scott W. Ambler [11]
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Madeyski, L. (2010). Effect on the Number of Acceptance Tests Passed per Hour. In: Test-Driven Development. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04288-1_6
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DOI: https://doi.org/10.1007/978-3-642-04288-1_6
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