On the Temporal Relations between Logging and Code
Author:
Affiliation:
1. Concordia University,Department of Computer Science and Software Engineering,Montreal,Canada
2. Beijing University of Posts and Telecommunications,Beijing,China
3. Polytechnique Montréal,Montreal,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10172484/10172342/10172750.pdf?arnumber=10172750
Reference50 articles.
1. Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks
2. Where shall we log? studying and suggesting logging locations in code blocks;li;35th IEEE/ACM International Conference on Automated Software Engineering ASE 2020,0
3. LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation
4. Towards learning generalizable code embeddings using task-agnostic graph convolutional networks;ACM Trans Softw Eng Methodol,2022
5. Learning to log: helping developers make informed logging decisions;zhu;Proceedings of the International Conference on Software Engineering ICSE'94,2015
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1. Go Static: Contextualized Logging Statement Generation;Proceedings of the ACM on Software Engineering;2024-07-12
2. LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates;ACM Transactions on Software Engineering and Methodology;2023-12-22
3. Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11
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