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Automated evolution of feature logging statement levels using Git histories and degree of interest

  • Published:2022-02 Issue: Volume:214 Page:102724
  • ISSN:0167-6423
  • Container-title:Science of Computer Programming
  • language:en
  • Short-container-title:Science of Computer Programming

Author:

Tang YimingORCID,Spektor Allan,Khatchadourian RaffiORCID,Bagherzadeh Mehdi

Publisher

Elsevier BV

Subject

Software

Reference53 articles.

1. Mylar: a degree-of-interest model for IDEs;Kersten,2005

2. Conformance testing: measuring the fit and appropriateness of event logs and process models;Rozinat,2005

3. Examining the stability of logging statements;Kabinna;Empir. Softw. Eng.,2018

4. SALSA: analyzing logs as state machines;Tan,2008

5. Studying the characteristics of logging practices in mobile apps: a case study on F-Droid;Zeng;Empir. Softw. Eng.,2019

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1. A literature review and existing challenges on software logging practices;Empirical Software Engineering;2024-06-18

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. On the Temporal Relations between Logging and Code;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

4. Studying and Complementing the Use of Identifiers in Logs;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03

5. SBFSelector;International Journal of Open Source Software and Processes;2022-10-14
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