On the Temporal Relations between Logging and Code

Author:

Ding Zishuo1,Tang Yiming1,Li Yang2,Li Heng3,Shang Weiyi1

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

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

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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