Large-scale analysis of inactive GitHub repositories shows open source projects die primarily from insufficient value and ecosystem dynamics, not from pull request workflow problems, despite a common pattern of declining activity.
In: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
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Industry AI practitioners view model quality through nine attributes with context-dependent priorities, where data imbalance is a key challenge addressed by strategies like active learning, as confirmed by interviews and a follow-up survey.
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