The Impact of Automated Regression Testing on Efficiency and System Risk in Mobile Banking
DOI:
https://doi.org/10.54099/ijmdb.v5i2.1882Keywords:
Mobile Banking, Software Quality Assurance, Testing Capacity, IT Risk ControlAbstract
As mobile banking applications become more complex, the number of test cases required in the testing process also continues to increase. One testing method that is often used to maintain application quality is regression testing. Superbank, as one of the digital banks in Indonesia, has various features with relatively high complexity. This condition makes the regression testing process less efficient when it is carried out manually. In addition, lower testing quality may increase the possibility of bugs or system issues appearing in the application. Therefore, the implementation of automated regression testing is expected not only to improve testing efficiency, but also to support information technology risk control in Superbank’s mobile banking application. This study analyzes the transition from manual to automated regression testing by using secondary data from Superbank’s testing documentation, including regression test reports, Lumos Dashboard, spreadsheets, and JIRA records. The analysis focuses on the growth of regression test cases, automated regression test coverage, weighted automated test pass rate, and the role of automation in supporting IT risk control. The findings show that automated regression testing helps improve the consistency, coverage, and efficiency of regression testing. It also supports preventive control by reducing the possibility of system errors reaching the production environment.
References
Akin, A., Senturk, S., & Garousi, V. (2018). Transitioning from Manual to Automated Software Regression Testing: Experience from the Banking Domain. Proceedings - Asia-Pacific Software Engineering Conference, APSEC, 2018-December, 591–597. https://doi.org/10.1109/APSEC.2018.00074
Alam, M., Priti, T., Fatema, K., & Hasan, S. (2023). Ensuring excellence: A review of software quality assurance and continuous improvement in software product development. Journal of Software Quality & Continuous Improvement, 3(1), 1–15.
Brasil, L., Santos, R. Dos, Ferreira De Souza, É., Endo, A. T., Trubiani, C., Pinciroli, R., & Lankalapalli Vijaykumar, N. (2024). Performance regression testing initiatives: a systematic mapping. https://doi.org/10.1016/j.infsof.2024.107641
Finsyen Ilham Erdi, & Astari Retnowardhani. (2024). Optimization of Application Testing in Financial Companies Using Robotic Process Automation (RPA). Economic Reviews Journal, 3(4). https://doi.org/10.56709/mrj.v3i4.595
Kumalasari, R. A. D., Permanasari, K. I., Karismariyanti, M., & Munandar, D. (2022). Mobile Banking: System Quality, Information Quality, Service Quality, Customer Satisfaction, and Loyalty. Jurnal Administrare: Jurnal Pemikiran Ilmiah Dan Pendidikan Administrasi Perkantoran, 9(1), 141–148.
Menegassi, A. A., & Endo, A. T. (2020). Automated tests for cross-platform mobile apps in multiple configurations. IET Software, 14(1), 27–38. https://doi.org/10.1049/iet-sen.2018.5445
Nafisah Balqis, A., Ramadhani, S. N., & Sumual, A. K. (2025). Risiko Operasional dalam Teknologi Informasi: Kajian Literatur Mengenai Mekanisme Identifikasi, Penilaian, dan Dampaknya terhadap Manajemen Risiko. Scripta Economica: Journal of Economics, 1, 67–77.
Persson, C., & Yilmaztürk, N. (2004). Establishment of Automated Regression Testing at ABB: Industrial Experience Report on “Avoiding the Pitfalls.” https://doi.org/10.1109/ASE.2004.1342729
Pressman, R. S. (2020). Software engineering: A practitioner’s approach (9th ed.). McGraw-Hill Education.
Safaat, G. I., & Tjhin, V. U. (2024). Analysis of quality assurance performance in the application of manual testing and automation testing for software product testing. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 7(2), 1987–1996.
Superbank. (2025). Superbank Bukukan Laba Sebelum Pajak Rp122,4 Miliar dan Tembus 1 Juta Transaksi Harian hingga November 2025. In Superbank. PT Super Bank Indonesia Tbk. https://www.superbank.id/berita/liputan/superbank-bukukan-laba-sebelum-pajak-rp122-4-miliar-dan-tembus-1-juta-transaksi-harian-hingga-november-2025
Sutapa, F. A. K. P. G., Kusumawardani, S., & Permanasari, A. E. (2019). Automated Test Suite for Regression Testing Based on Serenity Framework: A Case Study. 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 138–144. https://doi.org/10.1109/ICAIIT.2019.8834609
Wayan, N., Capriani, W., & Dana, I. M. (2016). PENGARUH RISIKO KREDIT RISIKO OPERASIONAL DAN RISIKO LIKUIDITAS TERHADAP PROFITABILITAS BPR DI KOTA DENPASAR. 5(3), 1486–1512. www.bi.go.id
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