Towards Teamwise Informed Decisions On Microservice Security Smells
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70797-1_23
Reference23 articles.
1. Alshammari, T., Alshayeb, M.: Toward a software bad smell prioritization model for software maintainability. Arabian J. Sci. Eng. 46 (2021). https://doi.org/10.1007/s13369-021-05766-6
2. Arcelli Fontana, F., Ferme, V., Zanoni, M., Roveda, R.: Towards a prioritization of code debt: a code smell intensity index. In: 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), pp. 16–24 (2015). https://doi.org/10.1109/MTD.2015.7332620
3. Aung, T.W.W., Wan, Y., Huo, H., Sui, Y.: Multi-triage: a multi-task learning framework for bug triage. J. Syst. Softw. 184, 111133 (2022). https://doi.org/10.1016/j.jss.2021.111133
4. Besker, T., Martini, A., Bosch, J.: Technical debt triage in backlog management. In: 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), pp. 13–22 (2019). https://doi.org/10.1109/TechDebt.2019.00010
5. Cerny, T., Abdelfattah, A.S., Maruf, A.A., Janes, A., Taibi, D.: Catalog and detection techniques of microservice anti-patterns and bad smells: a tertiary study. JSS 206, 111829 (2023). https://doi.org/10.1016/j.jss.2023.111829
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