| Reference : Towards Log Slicing |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Engineering, computing & technology : Computer science | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/54350 | |||
| Towards Log Slicing | |
| English | |
Dawes, Joshua  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >] | |
| Shin, Donghwan [] | |
| Bianculli, Domenico [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >] | |
| Apr-2023 | |
| Towards Log Slicing | |
| Dawes, Joshua | |
| Shin, Donghwan | |
| Bianculli, Domenico | |
| Springer | |
| Yes | |
| No | |
| International | |
| Cham | |
| Switzerland | |
| 26th International Conference on Fundamental Approaches to Software Engineering | |
| from 22-4-2023 to 27-4-2023 | |
| Paris | |
| France | |
| [en] Log ; Program Analysis ; Static Slicing | |
| [en] This short paper takes initial steps towards developing a novel
approach, called log slicing, that aims to answer a practical question in the field of log analysis: Can we automatically identify log messages related to a specific message (e.g., an error message)? The basic idea behind log slicing is that we can consider how different log messages are "computationally related" to each other by looking at the corresponding logging statements in the source code. These logging statements are identified by 1) computing a backwards program slice, using as criterion the logging statement that generated a problematic log message; and 2) extending that slice to include relevant logging statements. The paper presents a problem definition of log slicing, describes an initial approach for log slicing, and discusses a key open issue that can lead towards new research directions. | |
| Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation | |
| European Commission - EC | |
| Researchers ; Professionals | |
| http://hdl.handle.net/10993/54350 | |
| H2020 ; 957254 - COSMOS - DevOps for Complex Cyber-Physical Systems |
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