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Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

, , , , , , , and . ASE, page 771-783. IEEE, (2020)

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Myths in Software Engineering: From the Other Side.. TAP@TOOLS, volume 6143 of Lecture Notes in Computer Science, page 3-5. Springer, (2010)What Drives People: Creating Engagement Profiles of Players from Game Log Data., , , , , , and . CHI PLAY, page 369-379. ACM, (2015)Transition from centralized to decentralized version control systems: a case study on reasons, barriers, and outcomes., , , and . ICSE, page 334-344. ACM, (2014)Data analytics for game development., , , and . ICSE, page 940-943. ACM, (2011)Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?, , , , and . ISSRE, page 795-806. IEEE, (2023)Workgraph: personal focus vs. interruption for engineers at Meta., , , , , , , , , and . ESEC/SIGSOFT FSE, page 1390-1397. ACM, (2022)Analyzing Web Search Behavior for Software Engineering Tasks., , , , and . IEEE BigData, page 768-777. IEEE, (2020)"Good enough" software reliability estimation plug-in for Eclipse., , and . eTX, page 30-34. ACM, (2003)Iterative identification of fault-prone binaries using in-process metrics., , and . ESEM, page 206-212. ACM, (2008)Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study., and . ESEM, page 364-373. ACM / IEEE Computer Society, (2007)