Injecting software faults in Python applications-Reference-Cited by-同舟云学术

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Injecting software faults in Python applications

Published:2021-11-04 Issue:1 Volume:27 Page:
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Marques Henrique^ORCID,Laranjeiro Nuno^ORCID,Bernardino Jorge^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10664-021-10047-9.pdf

Reference60 articles.

1. Agnelo J, Laranjeiro N, Bernardino J (2020) Using orthogonal defect classification to characterize nosql database defects. J Syst Softw 159:110,451. https://doi.org/10.1016/j.jss.2019.110451. https://www.sciencedirect.com/science/article/pii/S0164121219302250

2. Arlat J, Crouzet Y, Karlsson J, Folkesson P, Fuchs E, Leber GH (2003) Comparison of physical and software-implemented fault injection techniques. IEEE Trans Comput 52(9):1115–1133. https://doi.org/10.1109/TC.2003.1228509

3. AS SN (2021) Cosmic ray. https://pypi.org/project/cosmic-ray, original-date: 2015-04-18T07:44:21Z

4. Barton JH, Czeck EW, Segall ZZ, Siewiorek DP (1990) Fault injection experiments using fiat. IEEE Trans Comput 39(4):575–582. https://doi.org/10.1109/12.54853

5. Byoungju C, Mathur AP (1993) High-performance mutation testing. J Syst Softw 20(2):135–152. https://doi.org/10.1016/0164-1212(93)90005-I. http://www.sciencedirect.com/science/article/pii/016412129390005I

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1. Using AI to Inject Vulnerabilities in Python Code;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2023-06

2. Run-time failure detection via non-intrusive event analysis in a large-scale cloud computing platform;Journal of Systems and Software;2023-04

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