Shift-Left Testing in the Software Testing Life Cycle: Evidence from the Ruang Murid Application on Time Efficiency and Software Quality
DOI:
https://doi.org/10.35870/ijmsit.v6i1.6610Keywords:
Shift-Left Testing, Software Testing, Bug Detection, Development Cost, Development TimeAbstract
This study investigates the implementation of Shift-Left Testing within the Software Testing Life Cycle (STLC) and its implications for testing time efficiency and software quality in the Ruang Murid application. A quantitative case study design was applied using testing records, observation, documentation, and questionnaire data collected from the development team, including Software Quality Assurance staff, developers, and the project manager. Data were analysed using SPSS through validity and reliability testing, multiple linear regression, t-tests, F-tests, and coefficient of determination analysis. The results show that after the adoption of Shift-Left Testing, the number of detected bugs increased by 54.39%, indicating broader and earlier defect discovery during the development cycle rather than a decline in product quality. Bug rate rose from 1.9 to 2.9 bugs per KLOC, while defect rate increased from 4.2% to 7.1%, both of which remained within acceptable quality thresholds. In addition, defect leakage was recorded at 10.37%, test coverage and test execution rate each reached 100%, and the test case pass rate was 50.51%. These findings suggest that the earlier involvement of the SQA team improved defect visibility, expanded testing coverage, and strengthened quality control across development stages, although further improvements are still needed to increase pass stability and overall testing confidence.
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Aljawarneh, S. (2020). Software quality assurance for e-learning systems. International Journal of Emerging Technologies in Learning, 15(1), 4–16. https://doi.org/10.3991/ijet.v15i01.11325
Alqurni, J. (2023). Assessing the usability of e-learning software among university students: A study on student satisfaction and performance. International Journal of Information Technology and Web Engineering, 18(1), 1–26. doi:10.4018/IJITWE.329198.
Alyoussef, I. Y. (2023). Acceptance of e-learning in higher education: The role of task-technology fit with the information systems success model. Heliyon, 9(3), e13751. doi:10.1016/j.heliyon.2023.e13751.
Amarta, A. A. F., & Anugrah, I. G. (2021). Implementasi agile scrum dengan menggunakan Trello sebagai manajemen proyek di PT Andromedia. Jurnal Nasional Komputasi dan Teknologi Informasi, 4(6), 528–534. https://doi.org/10.32672/jnkti.v4i6.3702
Aripiyanto, A., Muhyiddin, A., & Huda, B. (2021). Web-based teacher performance assessment information system using simple additive weighting method. Buana Information Technology and Computer Science (BIT CS), 2(2), 48–54. https://doi.org/10.36805/bit-cs.v2i2.1871
Atukunda, P., Khabusi, S. P., & Othieno, J. (2024). Analysis of user satisfaction of e-learning systems in Uganda using DeLone and McLean model. Discover Education, 3, 194. doi:10.1007/s44217-024-00304-6.
Awati, R. (2023, August 14). What is shift-left testing? TechTarget.
Bauer, A., Frattini, J., & Alégroth, E. (2024). Augmented testing to support manual GUI-based regression testing: An empirical study. Empirical Software Engineering, 29, 140. https://doi.org/10.1007/s10664-024-10522-z
Capgemini. (2021). World quality report 2021–2022. Capgemini, Sogeti, & Micro Focus. https://www.capgemini.com/research/world-quality-report-2021-22/
GeeksforGeeks. (2023). Shift left testing – Software testing.
Herlinda, H., Katarina, D., & Ambarsari, E. W. (2019). Automation testing tool dalam pengujian aplikasi belajar tajwid pada platform Android. STRING (Satuan Tulisan Riset dan Inovasi Teknologi), 4(2), 205. https://doi.org/10.30998/string.v4i2.5285
Hilabi, S. S. (2018). Analisis kualitas perangkat lunak terhadap sistem informasi STT Wastukancana Purwakarta. Jurnal Informatika, 1, 27–32.
IBM. (2023). What is shift-left testing? IBM.
Kavuri, S. (2024). Shift-Left and Shift-Right Testing Approaches: A Practical Roadmap for Continuous Quality in Agile and DevOps. Journal of Information Systems Engineering and Management, 9(4), 1-10. https://doi.org/10.52783/jisem.v9i4.127
López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A. M., Behutiye, W., Karhapää, P., Franch, X., Rodríguez, P., & Oivo, M. (2022). Quality measurement in agile and rapid software development: A systematic mapping. Journal of Systems and Software, 186, 111187. doi:10.1016/j.jss.2021.111187.
Madeyski, L., & Stradowski, S. (2025). Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application. Journal of Systems and Software, 223, 112360. https://doi.org/10.1016/j.jss.2025.112360
Ministry of Testing. (2023). Shift-left testing.
Natarajan, T., & Pichai, S. (2024). Behaviour-driven development and metrics framework for enhanced agile practices in scrum teams. Information and Software Technology, 170, 107435. doi:10.1016/j.infsof.2024.107435.
Ruliansyah, R., Tukino, Huda, B., & Hananto, A. L. (2023). Application of software testing life cycle in automated testing of Dzikra platform. Computer Science Research and Its Development Journal, 15(1), 1–11. https://doi.org/10.22303/csrid-.15.1.2023.01-11
Singh, H., & Suri, B. (2020). Improving software testing efficiency using shift left testing approach. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 2140–2145. https://doi.org/10.30534/ijatcse/2020/47922020
Sumi, R. S., & Kabir, G. (2021). Satisfaction of e-learners with electronic learning service quality using the SERVQUAL model. Journal of Open Innovation: Technology, Market, and Complexity, 7(4), 227. doi:10.3390/joitmc7040227.
Tran, H. K. V., Ali, N. b., Unterkalmsteiner, M. (2025). Quality attributes of test cases and test suites-importance & challenges from practitioners’ perspectives. Software Quality Journal, 33, 9. https://doi.org/10.1007/s11219-024-09698-w
Utami, & Setyodewi. (2023). Dokumentasi software testing untuk aplikasi DAFBIN berstandar IEEE 829-2008. Jurnal Restikom: Riset Teknik Informatika dan Komputer, 5(2), 107–117. https://doi.org/10.52005/restikom.v5i2.143
Vaddadi, S.A., Thatikonda, R., Padthe, A. et al. RETRACTED ARTICLE: Shift left testing paradigm process implementation for quality of software based on fuzzy. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08741-5
Venkitaraman. (2024). Early bug detection through shift left testing. International Journal of Innovative Science and Research Technology, 9(11), 185–190. https://doi.org/10.38124/ijisrt/IJISRT24NOV177
Wang, Y., Mäntylä, M. V., Liu, Z., & Markkula, J. (2022). Test automation maturity improves product quality—Quantitative study of open source projects using continuous integration. Journal of Systems and Software, 188, 111259. https://doi.org/10.1016/j.jss.2022.111259
Zulianto, A., Purbasari, A., Suryani, N., Susanti, A. I., Rinawan, F. R., & Purnama, W. G. (2021). Pemanfaatan Katalon Studio untuk otomatisasi pengujian black-box pada aplikasi iPosyandu. Jurnal Edukasi dan Penelitian Informatika, 7(3), 370. https://doi.org/10.26418/jp.v7i3.46954
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