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Logs play a crucial role in modern software systems, serving as a means fordevelopers to record essential information for future software maintenance. Asthe performance of these log-based maintenance tasks heavily relies on thequality of logging statements, various works have been proposed to assistdevelopers in writing appropriate logging statements. However, these workseither only support developers in partial sub-tasks of this whole activity; orperform with a relatively high time cost and may introduce unwantedmodifications. To address their limitations, we propose FastLog, which cansupport the complete logging statement generation and insertion activity, in avery speedy manner. Specifically, given a program method, FastLog firstpredicts the insertion position in the finest token level, and then generates acomplete logging statement to insert. We further use text splitting for longinput texts to improve the accuracy of predicting where to insert loggingstatements. A comprehensive empirical analysis shows that our methodoutperforms the state-of-the-art approach in both efficiency and outputquality, which reveals its great potential and practicality in currentreal-time intelligent development environments.

FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements