Towards log slicing

Dawes, J.H. orcid.org/0000-0002-2289-1620, Shin, D. orcid.org/0000-0002-0840-6449 and Bianculli, D. orcid.org/0000-0002-4854-685X (2023) Towards log slicing. In: Lambers, L. and Uchitel, S., (eds.) Fundamental Approaches to Software Engineering: 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings. 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, 22-27 Apr 2023, Paris, France. Lecture Notes in Computer Science, 13991 . Springer Cham , pp. 249-259. ISBN 9783031308253

Abstract

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.

Metadata

Authors/Creators:	Dawes, J.H. https://orcid.org/0000-0002-2289-1620 Shin, D. https://orcid.org/0000-0002-0840-6449 Bianculli, D. https://orcid.org/0000-0002-4854-685X
Copyright, Publisher and Additional Information:	© The Author(s) 2023. Open Access: This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Keywords:	Log; Program Analysis; Static Slicing
Dates:	Published (online): 20 April 2023 Published: 19 April 2023
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	06 Jun 2023 13:45
Last Modified:	06 Jun 2023 13:45
Status:	Published
Publisher:	Springer Cham
Series Name:	Lecture Notes in Computer Science
Refereed:	Yes
Identification Number:	https://doi.org/10.1007/978-3-031-30826-0_14
Related URLs:	Conference

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Towards log slicing

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