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Springer International Publishing
Reference42 articles.
1. Arlat, J., Crouzet, Y., Laprie, J.C.: Fault injection for dependability validation of fault-tolerant computing systems. In: 1989 The Nineteenth International Symposium on Fault-Tolerant Computing, Digest of Papers, pp. 348–355. IEEE (1989)
2. Awotunde, J., Ameen, A., Oladipo, I., Tomori, A., Abdulraheem, M.: Evaluation of four encryption algorithms for viability, reliability and performance estimation. Niger. J. Technol. Dev. 13(2), 74–82 (2016)
3. Banabic, R., Candea, G.: Fast black-box testing of system recovery code. In: 7th ACM European Conference On Computer Systems, pp. 281–294. ACM (2012)
4. Candido, J., Melo, L., d’Amorim, M.: Test suite parallelization in open-source projects: a study on its usage and impact. In: 32nd IEEE/ACM International Conference on Automated Software Engineering, pp. 838–848. IEEE Press (2017)
5. Cerveira, F., Barbosa, R., Madeira, H.: Experience report: on the impact of software faults in the privileged virtual machine. In: 28th International Symposium on Software Reliability Engineering (ISSRE), pp. 136–145. IEEE (2017)
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