Search for Author All Reviews
	Tan, Lin     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 2 of 2 reviews       Automatically learning semantic features for defect prediction Wang S., Liu T., Tan L.  ICSE 2016 (Proceedings of the 38th International Conference on Software Engineering, Austin, TX, May 14-22, 2016) 297-308, 2016.  Type: Proceedings Have data? Try teaching a machine. Any problem space that has a large amount of data is just asking for someone to apply machine learning to find a solution. Defect detection is one such domain. With an extensive number of open-source ...... Feb 25 2020     HotComments: how to make program comments more useful? Tan L., Yuan D., Zhou Y.  Hot topics in operating systems (Proceedings of the 11th USENIX Workshop on Hot Topics in Operating Systems, San Diego, CA, May 7-9, 2007) 1-6, 2007.  Type: Proceedings Can knowledge contained in natural language program comments be automatically exploited to detect bugs in source code? Tan et al. seek to answer this question by first constructing a program-comment analyzer, capable of detecting rules...... Jun 6 2008
	Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud® Terms of Use | Privacy Policy