Internal code metrics predict app popularity only as a binary popular/unpopular classification, reaching macro F1 0.72 for ratings and 0.69 for downloads per year, while regression predictions are no better than the mean.
Journal of Machine Learning Research 12:2825–2830 Rachow P, Riebisch M (2022) An architecture smell knowledge base for managing architecture technical debt
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Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch?
Internal code metrics predict app popularity only as a binary popular/unpopular classification, reaching macro F1 0.72 for ratings and 0.69 for downloads per year, while regression predictions are no better than the mean.