On Log Analysis and Stack Trace Use to Improve Program Slicing-Reference-Cited by-同舟云学术

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On Log Analysis and Stack Trace Use to Improve Program Slicing

Published:2021 Issue: Volume: Page:265-275
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Bushong Vincent,Curtis Jacob,Sanders Russell,Du Mark,Cerny Tomas,Frajtak Karel,Tisnovsky Pavel,Shin Dongwan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-6385-4_25

Reference16 articles.

1. Bao L, Li Q, Lu P, Lu J, Ruan T, Zhang K (2018) Execution anomaly detection in large-scale systems through console log analysis. J Syst Software 143:172–186. https://doi.org/10.1016/j.jss.2018.05.016

2. Chen B, Song J, Xu P, Hu X, Jiang ZMJ (2018) An automated approach to estimating code coverage measures via execution logs. In: 2018 33rd IEEE/ACM international conference on automated software engineering (ASE), pp 305–316. https://doi.org/10.1145/3238147.3238214

3. El-Masri D, Petrillo F, Guéhéneuc YG, Hamou-Lhadj A, Bouziane A (2020) A systematic literature review on automated log abstraction techniques. Inform Software Technol 122:106276. https://doi.org/10.1016/j.infsof.2020.106276

4. Fu Q, Lou J, Wang Y, Li J (2009) Execution anomaly detection in distributed systems through unstructured log analysis. In: 2009 Ninth IEEE international conference on data mining, pp 149–158. https://doi.org/10.1109/ICDM.2009.60, ISSN: 2374-8486

5. Ghanbari S, Hashemi AB, Amza C (2014) Stage-aware anomaly detection through tracking log points. In: Proceedings of the 15th international middleware conference, pp 253–264. Middleware ’14, Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2663165.2663319

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1. Pruning Boolean Expressions to Shorten Dynamic Slices;2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM);2022-10

2. Survey on Tools and Techniques Detecting Microservice API Patterns;2022 IEEE International Conference on Services Computing (SCC);2022-07

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