A Model for Effective Software Testing in Cloud Environment

Author:

Pushpanjali Saini,Anubha Jain

Publisher

Springer Singapore

Reference19 articles.

1. A.V. Katherine, K. Alagarsamy, Software testing in cloud platform: a survey. International Journal of computer applications. 46(6), 21–25 (2012)

2. Technical report by Cognizant 2011, Taking Testing to the Cloud

3. Saleh, I., and Nagi, K. (2015). Hadoopmutator: A cloud-based mutation testing framework. In International Conference on Software Reuse (pp. 172–187). Springer, Cham

4. Petrovic, G., Ivankovic, M., Kurtz, B., Ammann, P., & Just, R. (2018). An industrial application of mutation testing: Lessons, challenges, and research directions. In 2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (pp. 47–53). IEEE

5. Al-Ghuwairi, A. R., Eid, H., Aloran, M., Salah, Z., Baarah, A. H., and Al-oqaily, A. A. (2016). A mutation- based model to rank testing as a service (TaaS) Providers in cloud computing. In Proceedings of the International Conference on Internet of things and Cloud Computing (p. 18). ACM

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1. Effective Test Case Prioritization Framework Using Fuzzy Logic for Cloud-Based Applications;Proceedings of Seventh International Congress on Information and Communication Technology;2022-08-17

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