Enabling Scalable Mobile Test Automation on Linux: A Case Study in a Public Financial Institution
Resumo
Test automation is critical to ensuring software quality and security in financial institutions, particularly in public financial institutions, where the reliability of transactions is paramount. Historically, mobile test execution was constrained to Windows® servers due to technical dependencies on proprietary components. This paper presents a case study on the migration to a Linux-based architecture for mobile test automation, using Selenium Grid and Appium integrated with Jenkins CI/CD pipelines. The proposed solution enhances flexibility, scalability, and operational efficiency while maintaining strict security and compliance standards required in banking environments. The study describes the architectural decisions, implementation steps, and security adaptations undertaken to enable distributed and parallel test execution. Key outcomes include a 40% reduction in execution time, a 25% increase in functional test coverage, a shorter feedback cycle, and improved scalability. The findings provide evidence that with a structured approach and the right toolchain, robust and secure test automation is achievable even under the constraints of a highly regulated environment.
Palavras-chave:
Test Automation, Mobile Testing, Selenium Grid, Appium, CI/CD, Jenkins, Financial Systems, Linux Migration, Parallel Testing, Secure Software Testing, Infrastructure-as-Code
Referências
Samah W.G. AbuSalim, Rosziati Ibrahim, and Jahari Abdul Wahab. 2021. Comparative Analysis of Software Testing Techniques for Mobile Applications. In Journal of Physics: Conference Series, Vol. 1793. IOP Publishing, Kuala Lumpur, Malaysia. DOI: 10.1088/1742-6596/1793/1/012036
Andrea Arcuri and Lionel Briand. 2014. A Hitchhiker’s Guide to Statistical Tests for Assessing Randomized Algorithms in Software Engineering. Software Testing, Verification and Reliability 24, 3 (2014), 219–250. DOI: 10.1002/stvr.1486
Cheng-Hsiang Chiu, Zhicheng Xiong, Zizheng Guo, Tsung-Wei Huang, and Yibo Lin. 2024. An Efficient Task-Parallel Pipeline Programming Framework. In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia 2024). ACM, 95–106. DOI: 10.1145/3635035.3635037
Raiyan Rahman Chowdhury, Syeda Sumbul Hossain, Yeasir Arafat, and Bushrat Jahan Siddiqui. 2020. Configuring Appium for iOS Applications and Test Automation in Multiple Devices. In Proceedings of the 2020 Asia Service Sciences and Software Engineering Conference (Nagoya, Japan) (ASSE ’20). Association for Computing Machinery, New York, NY, USA, 63–69. DOI: 10.1145/3399871.3399883
Gustavo Costa and Breno Miranda. 2023. A Comparative Analysis of Mobile UI Testing Frameworks in Continuous Integration Environments. In Proceedings of the 8th Brazilian Symposium on Systematic and Automated Software Testing (Campo Grande, MS, Brazil) (SAST ’23). Association for Computing Machinery, New York, NY, USA. DOI: 10.1145/3624032.3624047
Santiago Delgado. 2008. Parallel Testing Techniques for Optimizing Test Program Execution and Reducing Test Time. In Proceedings of the 2008 IEEE AUTOTESTCON. IEEE, Salt Lake City, UT, USA, 439–441.
Zhen Dong, Abhishek Tiwari, Xiao Liang Yu, and Abhik Roychoudhury. 2021. Flaky test detection in Android via event order exploration. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece) (ESEC/FSE 2021). Association for Computing Machinery, New York, NY, USA, 367–378. DOI: 10.1145/3468264.3468584
Stefan Fischer, Rudolf Ramler,Wesley K. G. Assunção, Alexander Egyed, Christian Gradl, and Sebastian Auberger. 2023. Model-based Testing for a Family of Mobile Applications: Industrial Experiences. In Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A (Tokyo, Japan) (SPLC ’23). ACM, New York, NY, USA.
Jicheng Li and Hongyu Cao. 2023. Design and Implementation of API Automation Testing System for Mobile Hybrid Mode Based on Appium Technology. In Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering (Xiamen, China) (EITCE ’23). Association for Computing Machinery, New York, NY, USA. DOI: 10.1145/3650400.3650648
Chia-Yu Lin and Shin-Jie Lee. 2023. An Efficient Autoscaling Cross-Browser Testing Cloud Platform based on Selenium Grid, Kubernetes and KEDA. Journal of Information Science and Engineering 39, 5 (2023), 1061–1077. [link]
Sundos Mojahed, Réjean Drouin, and Lokman Sboui. 2024. ODACE: An Appiumbased Testing Automation Platform for Android Mobile Devices Certification. In IEEE International Conference on Software Testing, Verification and Validation, ICST 2024 -Workshops. IEEE, Toronto, ON, Canada, 301–308. DOI: 10.1109/ICSTW60967.2024.00060
Maxim Mozgovoy and Evgeny Pyshkin. 2018. Mobile farm for software testing. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (Barcelona, Spain) (MobileHCI ’18). Association for Computing Machinery, New York, NY, USA.
Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn. 2021. A Survey of Flaky Tests. ACM Trans. Softw. Eng. Methodol. 31, 1, Article 17 (Oct. 2021), 74 pages. DOI: 10.1145/3476105
Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, and Weihang Wang. 2021. An Empirical Analysis of UI-based Flaky Tests. arXiv:2103.02669 [cs.SE] [link]
Per Runeson and Martin Höst. 2009. Guidelines for Conducting and Reporting Case Study Research in Software Engineering. Empirical Software Engineering 14, 2 (2009), 131–164. DOI: 10.1007/s10664-008-9102-8
Ting Su, Yichen Yan, Jue Wang, Jingling Sun, Yiheng Xiong, Geguang Pu, Ke Wang, and Zhendong Su. 2021. Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs. Proc. ACM Program. Lang. 5, OOPSLA (oct 2021).
Isabel K. Villanes, Silvia M. Ascate, Josias Gomes, and Arilo Claudio Dias-Neto. 2017. What are Software Engineers asking about Android Testing on Stack Overflow?. In Proceedings of the XXXI Brazilian Symposium on Software Engineering (Fortaleza, CE, Brazil) (SBES ’17). Association for Computing Machinery, New York, NY, USA.
Claes Wohlin. 2021. Case Study Research in Software Engineering—It is a Case, and it is a Study, but is it a Case Study? Information and Software Technology 133 (2021), 106514. DOI: 10.1016/j.infsof.2021.106514
Shengcheng Yu, Chunrong Fang, Yexiao Yun, and Yang Feng. 2021. Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. In Proceedings of the 43rd International Conference on Software Engineering (ICSE ’21). IEEE. DOI: 10.1109/ICSE43902.2021.00139
Andrea Arcuri and Lionel Briand. 2014. A Hitchhiker’s Guide to Statistical Tests for Assessing Randomized Algorithms in Software Engineering. Software Testing, Verification and Reliability 24, 3 (2014), 219–250. DOI: 10.1002/stvr.1486
Cheng-Hsiang Chiu, Zhicheng Xiong, Zizheng Guo, Tsung-Wei Huang, and Yibo Lin. 2024. An Efficient Task-Parallel Pipeline Programming Framework. In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia 2024). ACM, 95–106. DOI: 10.1145/3635035.3635037
Raiyan Rahman Chowdhury, Syeda Sumbul Hossain, Yeasir Arafat, and Bushrat Jahan Siddiqui. 2020. Configuring Appium for iOS Applications and Test Automation in Multiple Devices. In Proceedings of the 2020 Asia Service Sciences and Software Engineering Conference (Nagoya, Japan) (ASSE ’20). Association for Computing Machinery, New York, NY, USA, 63–69. DOI: 10.1145/3399871.3399883
Gustavo Costa and Breno Miranda. 2023. A Comparative Analysis of Mobile UI Testing Frameworks in Continuous Integration Environments. In Proceedings of the 8th Brazilian Symposium on Systematic and Automated Software Testing (Campo Grande, MS, Brazil) (SAST ’23). Association for Computing Machinery, New York, NY, USA. DOI: 10.1145/3624032.3624047
Santiago Delgado. 2008. Parallel Testing Techniques for Optimizing Test Program Execution and Reducing Test Time. In Proceedings of the 2008 IEEE AUTOTESTCON. IEEE, Salt Lake City, UT, USA, 439–441.
Zhen Dong, Abhishek Tiwari, Xiao Liang Yu, and Abhik Roychoudhury. 2021. Flaky test detection in Android via event order exploration. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece) (ESEC/FSE 2021). Association for Computing Machinery, New York, NY, USA, 367–378. DOI: 10.1145/3468264.3468584
Stefan Fischer, Rudolf Ramler,Wesley K. G. Assunção, Alexander Egyed, Christian Gradl, and Sebastian Auberger. 2023. Model-based Testing for a Family of Mobile Applications: Industrial Experiences. In Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A (Tokyo, Japan) (SPLC ’23). ACM, New York, NY, USA.
Jicheng Li and Hongyu Cao. 2023. Design and Implementation of API Automation Testing System for Mobile Hybrid Mode Based on Appium Technology. In Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering (Xiamen, China) (EITCE ’23). Association for Computing Machinery, New York, NY, USA. DOI: 10.1145/3650400.3650648
Chia-Yu Lin and Shin-Jie Lee. 2023. An Efficient Autoscaling Cross-Browser Testing Cloud Platform based on Selenium Grid, Kubernetes and KEDA. Journal of Information Science and Engineering 39, 5 (2023), 1061–1077. [link]
Sundos Mojahed, Réjean Drouin, and Lokman Sboui. 2024. ODACE: An Appiumbased Testing Automation Platform for Android Mobile Devices Certification. In IEEE International Conference on Software Testing, Verification and Validation, ICST 2024 -Workshops. IEEE, Toronto, ON, Canada, 301–308. DOI: 10.1109/ICSTW60967.2024.00060
Maxim Mozgovoy and Evgeny Pyshkin. 2018. Mobile farm for software testing. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (Barcelona, Spain) (MobileHCI ’18). Association for Computing Machinery, New York, NY, USA.
Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn. 2021. A Survey of Flaky Tests. ACM Trans. Softw. Eng. Methodol. 31, 1, Article 17 (Oct. 2021), 74 pages. DOI: 10.1145/3476105
Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, and Weihang Wang. 2021. An Empirical Analysis of UI-based Flaky Tests. arXiv:2103.02669 [cs.SE] [link]
Per Runeson and Martin Höst. 2009. Guidelines for Conducting and Reporting Case Study Research in Software Engineering. Empirical Software Engineering 14, 2 (2009), 131–164. DOI: 10.1007/s10664-008-9102-8
Ting Su, Yichen Yan, Jue Wang, Jingling Sun, Yiheng Xiong, Geguang Pu, Ke Wang, and Zhendong Su. 2021. Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs. Proc. ACM Program. Lang. 5, OOPSLA (oct 2021).
Isabel K. Villanes, Silvia M. Ascate, Josias Gomes, and Arilo Claudio Dias-Neto. 2017. What are Software Engineers asking about Android Testing on Stack Overflow?. In Proceedings of the XXXI Brazilian Symposium on Software Engineering (Fortaleza, CE, Brazil) (SBES ’17). Association for Computing Machinery, New York, NY, USA.
Claes Wohlin. 2021. Case Study Research in Software Engineering—It is a Case, and it is a Study, but is it a Case Study? Information and Software Technology 133 (2021), 106514. DOI: 10.1016/j.infsof.2021.106514
Shengcheng Yu, Chunrong Fang, Yexiao Yun, and Yang Feng. 2021. Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. In Proceedings of the 43rd International Conference on Software Engineering (ICSE ’21). IEEE. DOI: 10.1109/ICSE43902.2021.00139
Publicado
08/09/2026
Como Citar
RIQUELMO, Jonnathan; SILVA, Elrison Gomes da; SILVA, Michael Trindade da; RODRIGUES, Elder de Macedo; BERNARDINO, Maicon.
Enabling Scalable Mobile Test Automation on Linux: A Case Study in a Public Financial Institution. In: SIMPÓSIO BRASILEIRO DE TESTES DE SOFTWARE SISTEMÁTICO E AUTOMATIZADO (SAST), 11. , 2026, São Paulo/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 119-128.
DOI: https://doi.org/10.5753/sast.2026.31217.
