How Much Logs Does My Source Code File Need? Learning to Predict the Density of Logs-Reference-Cited by-同舟云学术

How Much Logs Does My Source Code File Need? Learning to Predict the Density of Logs

Published:2024-06-18 Issue: Volume:200 Page:140-149
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
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Author:

Batoun Mohamed Amine¹^ORCID,Sayagh Mohammed¹^ORCID,Ouni Ali¹^ORCID

Affiliation:

1. Software Engineering, École de Technologie Supérieure, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661234

Reference57 articles.

1. Batoun Mohamed Amine, Yung Ka Lai, Tian Yuan, and Sayagh Mohammed. 2023. An Empirical Study on GitHub Pull Requests’ Reactions. ACM Transactions on Software Engineering and Methodology (2023).

2. Pecchia Antonio, Cinque Marcello, Carrozza Gabriella, and Cotroneo Domenico. 2015. Industry Practices and Event Logging: Assessment of a Critical Software Development Process. In Proceedings of the 2012 IEEE Annual Computer Software and Applications Conference. 169–178.

3. Chen Boyuan and Jiang Zhen M. 2019. Extracting and Studying the Logging-Code-Issue-Introducing Changes in Java-Based Large-Scale Open Source Software Systems. Empirical Software Engineering (2019), 2285–2322.

4. Chen Boyuan and Jiang Z. Ming. 2017. Characterizing and Detecting Anti-Patterns in the Logging Code. In Proceedings of the 2017 IEEE/ACM International Conference on Software Engineering (ICSE)). 71–81.

5. Chen Boyuan and Jiang Z. Ming. 2017. Characterizing Logging Practices in Java-Based Open Source Software Projects –a Replication Study in Apache Software Foundation. Empirical Software Engineering (2017), 330–374.