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• tweets kept for 3 months
Microsoft Research came up with an A.I. model to predict the number of bugs in a code base and the top predictors in order of accuracy were - company org structure - code churn - code complexity - dependencies - code coverage Anyone else not surprised?https://augustl.com/blog/2019/best_bug_predictor_is_organizational_complexity/ …
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The Windows bug db circa 2008 had messy resolution field. Dupes got misclassified as separate issues. Dont know if the underlying data used here was the same, but there was a contemporaneous paper that misstated unique defect counts in a cross org component because of this.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Yea what the hell lol
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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