Test Automation in Microservices Architecture with AI: Strategies, Tools, and Best Practices

William Clark

Abstract


Microservices architecture has become a dominant approach for building modern, scalable, and maintainable applications. However, this architectural style introduces unique challenges for quality assurance, particularly in testing. This article delves into the complexities of test automation in microservices architecture, covering key strategies, tools, and best practices. We explore different levels of testing, such as unit, integration, end-to-end, and contract testing, and their specific roles in microservices. Additionally, we analyze the tools available for test automation, the metrics for measuring test effectiveness, and the best practices for maintaining a reliable test suite. By providing comprehensive insights and detailed tables, this article aims to serve as a practical guide for QA professionals and developers working with microservices.

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Munagandla, V. B., Vadde, B. C., & Dandyala, S. S. V. (2020). Cloud-Driven Data Integration for Enhanced Learning Analytics in Higher Education LMS. Revista de Inteligencia Artificial en Medicina, 11(1), 279-299.

Waseem, M., Liang, P., Márquez, G., & Di Salle, A. (2020, December). Testing microservices architecture-based applications: A systematic mapping study. In 2020 27th Asia-Pacific Software Engineering Conference (APSEC) (pp. 119-128). IEEE.

Nersu, S. R. K., Kathram, S. R., & Mandaloju, N. (2020). Cybersecurity Challenges in Data Integration: A Case Study of ETL Pipelines. Revista de Inteligencia Artificial en Medicina, 11(1), 422-439.

Waseem, M., Liang, P., Shahin, M., Di Salle, A., & Márquez, G. (2021). Design, monitoring, and testing of microservices systems: The practitioners’ perspective. Journal of Systems and Software, 182, 111061.

Kathram, S. R., & Nersu, S. R. K. (2020). Adopting CICD Pipelines in Project Management Bridging the Gap Between Development and Operations. Revista de Inteligencia Artificial en Medicina, 11(1), 440- 461.

Vadde, B. C., Munagandla, V. B., & Dandyala, S. S. V. (2021). Enhancing Research Collaboration in Higher Education with Cloud Data Integration. International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 12(1), 366385.

Kathram, S. R., & Nersu, S. R. K. (2022). Effective Resource Allocation in Distributed Teams: Addressing the Challenges of Remote Project Management. Revista de Inteligencia Artificial en Medicina, 13(1), 615-634.

Bogner, J., Fritzsch, J., Wagner, S., & Zimmermann, A. (2021). Industry practices and challenges for the evolvability assurance of microservices: An interview study and systematic grey literature review. Empirical Software Engineering, 26, 1-39.

Nersu, S. R. K., & Kathram, S. R. (2022). Harnessing Federated Learning for Secure Distributed ETL Pipelines. Revista de Inteligencia Artificial en Medicina, 13(1), 592-615.

Bogner, J., Fritzsch, J., Wagner, S., & Zimmermann, A. (2021). Industry practices and challenges for the evolvability assurance of microservices: An interview study and systematic grey literature review. Empirical Software Engineering, 26, 1-39.

Mandaloju, N., kumar Karne, V., Srinivas, N., & Nadimpalli, S. V. (2021). Overcoming Challenges in Salesforce Lightning Testing with AI Solutions. ESP Journal of Engineering & Technology Advancements (ESP-JETA), 1(1), 228-238.

Muqorobin, M., & Rais, N. A. R. (2020, November). Analisis Peran Teknologi Sistem Informasi Dalam Pembelajaran Kuliah Dimasa Pandemi Virus Corona. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 3, No. 1, pp. 157-168).

Kothamali, P. R., & Banik, S. (2019). Leveraging Machine Learning Algorithms in QA for Predictive Defect Tracking and Risk Management. International Journal of Advanced Engineering Technologies and Innovations, 1(4), 103-120.

Banik, S., & Kothamali, P. R. (2019). Developing an End-to-End QA Strategy for Secure Software: Insights from SQA Management. International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 10(1), 125-155.

Kothamali, P. R., & Banik, S. (2019). Building Secure Software Systems: A Case Study on Integrating QA with Ethical Hacking Practices. Revista de Inteligencia Artificial en Medicina, 10(1), 163-191.

Kothamali, P. R., & Banik, S. (2019). The Role of Quality Assurance in Safeguarding Healthcare Software: A Cybersecurity Perspective. Revista de Inteligencia Artificial en Medicina, 10(1), 192-228.

Hannousse, A., & Yahiouche, S. (2021). Securing microservices and microservice architectures: A systematic mapping study. Computer Science Review, 41, 100415.

Kothamali, P. R., & Banik, S. (2020). The Future of Threat Detection with ML. International Journal of Advanced Engineering Technologies and Innovations, 1(2), 133-152.

Koppanati, P. K. (2021). Automation Testing for Custom Insurance Quotation Engines Using Microservices Architecture. Journal of Scientific and Engineering Research, 8(9), 326-332.

Banik, S., Dandyala, S. S. M., & Nadimpalli, S. V. (2020). Introduction to Machine Learning in Cybersecurity. International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 11(1), 180-204.

Kothamali, P. R., Banik, S., & Nadimpalli, S. V. (2020). Introduction to Threat Detection in Cybersecurity. International Journal of Advanced Engineering Technologies and Innovations, 1(2), 113- 132.

Waseem, M., Liang, P., & Shahin, M. (2020). A systematic mapping study on microservices architecture in devops. Journal of Systems and Software, 170, 110798.

Kothamali, P. R., Banik, S., & Nadimpalli, S. V. (2021). Feature Engineering for Effective Threat Detection. International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 12(1), 341-358.

Banik, S., & Dandyala, S. S. M. (2021). Unsupervised Learning Techniques in Cybersecurity. Revista de Inteligencia Artificial en Medicina, 12(1), 384-406.

Lehtola, H. (2020). Effective migration of an automation system to microservice architecture (Master's thesis).

Muqorobin, M., & Rais, N. A. R. (2020). Analysis of the role of information systems technology in lecture learning during the corona virus pandemic. International Journal of Computer and Information System (IJCIS), 1(2), 47-51.

Kothamali, P. R., & Banik, S. (2021). Data Sources for Machine Learning Models in Cybersecurity. Revista de Inteligencia Artificial en Medicina, 12(1), 358-383.

Joselyne, M. I., Bajpai, G., & Nzanywayingoma, F. (2021, October). A systematic framework of application modernization to microservice based architecture. In 2021 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1-6). IEEE.

Kothamali, P. R., Banik, S., & Nadimpalli, S. V. (2020). Challenges in Applying ML to Cybersecurity. Revista de Inteligencia Artificial en Medicina, 11(1), 214-256.

Taibi, D., Lenarduzzi, V., & Pahl, C. (2020). Microservices anti-patterns: A taxonomy. Microservices: Science and Engineering, 111-128.

Kothamali, P. R., & Banik, S. (2022). Limitations of Signature-Based Threat Detection. Revista de Inteligencia Artificial en Medicina, 13(1), 381-391.

Muqorobin, M., Utomo, P. B., Nafi’Uddin, M., & Kusrini, K. (2019). Implementasi Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit Ayam Berbasis Android. Creative Information Technology Journal, 5(3), 185-195.

Eismann, S., Bezemer, C. P., Shang, W., Okanović, D., & van Hoorn, A. (2020, April). Microservices: A performance tester's dream or nightmare?. In Proceedings of the ACM/SPEC international conference on performance engineering (pp. 138-149).

Muqorobin, M., Kusrini, K., Rokhmah, S., & Muslihah, I. (2020). Estimation System For Late Payment Of School Tuition Fees. International Journal of Computer and Information System (IJCIS), 1(1), 1-6.

Kothamali, P. R., & Banik, S. (2020). The Future of Threat Detection with ML. International Journal of Advanced Engineering Technologies and Innovations, 1(2), 133-152.

Muqorobin, M., Hisyam, Z., Mashuri, M., Hanafi, H., & Setiyantara, Y. (2019). Implementasi Network Intrusion Detection System (NIDS) Dalam Sistem Keamanan Open Cloud Computing. Majalah Ilmiah Bahari Jogja, 17(2), 1-9.

Ntentos, E., Zdun, U., Plakidas, K., & Geiger, S. (2021, March). Semi-automatic feedback for improving architecture conformance to microservice patterns and practices. In 2021 IEEE 18th International Conference on Software Architecture (ICSA) (pp. 36-46). IEEE.

Kothamali, P. R., Banik, S., & Nadimpalli, S. V. (2021). Feature Engineering for Effective Threat Detection. International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 12(1), 341-358.

Muqorobin, M., Apriliyani, A., & Kusrini, K. (2019). Sistem Pendukung Keputusan Penerimaan Beasiswa dengan Metode SAW. Respati, 14(1).

Kothamali, P. R., & Banik, S. (2021). Data Sources for Machine Learning Models in Cybersecurity. Revista de Inteligencia Artificial en Medicina, 12(1), 358-383.

Ribeiro, A. (2021). Invariant-Driven Automated Testing (Doctoral dissertation, Master’s thesis, Universidade Nova de Lisboa, Lisboa).

Muqorobin, M., Kusrini, K., & Luthfi, E. T. (2019). Optimasi Metode Naive Bayes Dengan Feature Selection Information Gain Untuk Prediksi Keterlambatan Pembayaran Spp Sekolah. Jurnal Ilmiah SINUS, 17(1), 1-14.

Kothamali, P. R., & Banik, S. (2022). Limitations of Signature-Based Threat Detection. Revista de Inteligencia Artificial en Medicina, 13(1), 381-391.

Auer, F., Lenarduzzi, V., Felderer, M., & Taibi, D. (2021). From monolithic systems to microservices: An assessment framework. Information and Software Technology, 137, 106600.

Kothamali, P. R., Mandaloju, N., & Dandyala, S. S. M. (2022). Optimizing Resource Management in Smart Cities with AI. Unique Endeavor in Business & Social Sciences, 1(1), 174-191. https://unbss.com/index.php/unbss/article/view/54


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