OPTIMALISASI PROSES PEMBAHARUAN LOCATOR PADA KODE OTOMATIS SELENIUM DENGAN MENGGUNAKAN PAGE OBJECT MODEL
Abstract
Pengujian aplikasi adalah proses penting pada pengembangan perangkat lunak. Salah satu cara mempercepat pengujian aplikasi dengan menggunakan teknik pengujian otomatis menggunakan selenium webdriver. Teknik ini menggunakan kode otomatis yang disusun di dalam sebuat test case. Pada test case terdapat langkah pengujian yang terdiri dari banyak locator. Locator merupakan query untuk mengakses element pada website yang merepresentasikan objek yang diakses oleh pengguna seperti tombol, input teks dan lainnya. Locator yang sama bisa digunakan pada test case yang berbeda Pada penelitian sebelumnya, automatisasi pengujian perangkat lunak berbasis website terbukti meningkatkan waktu uji yakni 30 detik lebih cepat dibandingkan proses pengujian secara manual. Namun pada penelitian tersebut tidak dibahas bagaimana proses pembaharuan locator yang efektif ketika terjadi perubahan struktur sistem aplikasi. Penelitian ini bertujuan untuk mengoptimalisasi proses pembaharuan kode automatisasi dengan mengolah data locator menggunakan teknik page object modelling (POM) pada halaman login website. Setiap locator ditempatkan pada satu tempat yang disebut dengan repositori sehingga proses pembaharuan locator dilakukan secara sentralisasi pada repositori tanpa harus mencari dan membuka test case satu per satu.Hasil penelitian menunjukkan efisiensi sebesar 14.28 % lebih cepat jika dibandingkan dengan proses pembaharuan tanpa metode POMReferences
Garousi, V., et al. (2021). Model-based testing in practice: An experience report from web applications domain. Elsevier Science Direct The Journal of System and Software 180 (2021) 111032. doi: https://doi.org/10.1016/j.jss.2021.111032
Pombo N., and C. Martins. (2021). Test Driven Development in Action: Case Study of a Cross-Platform Web Application. IEEE EUROCON 2021 - 19th International Conference on Smart Technologies, Lviv, Ukraine, 2021, pp. 352-356.doi: 10.1109/EUROCON52738.2021.9535554.
Banjarnahor M.T., and L. S. Istiyowati. (2022). Smoke Automation and Regression Testing on a peer-to-peer lending Website with the Data-Driven Testing Method. Jurnal Rekayasa Sistem dan Teknologi Informasi. 6(4). 684-691. doi : https://doi.org/10.29207/resti.v6i4.4220.
Joe Lian Min, A. Istiqomah, dan A. Rahmani. (2020). Evaluasi Penggunaan Manual dan Automated Software Testing pada Pelaksanaan End-to-End Testing. Jurnal Teknologi Terapan. 6(1).
Riasat, H., Nazir, Z., and Zubair, S. (2021). Critical Analysis of software testing techniques and automation testing tools, International Journal Of Scientific & Engineering Research.12 (2). ISSN : 2229-5518.
Anand, R, and M. Arulprakash. (2018). Business Driven Automation Testing Framework. International Journal of Engineering and Technology. 7(2.8).
Malik, A., and A. Mehta. (2022). Automation Testing - A Review. International Research Journal of Modernization in Engineering Technology and Science. 4(6).
Ateşoğulları D., and A. Misra. (2020). Automation Testing Tools: A Comparative View. International Journal of Computer Science and Information Technologies. 4(12).
Ramler, R., and C. Klammer. (2019). Enhancing Acceptance Test-Driver Development with Model-Based Test Generation. IEEE 19th International Conference on Software Quality, Realibility and Security Companion.
Ouriques R., Krzysztof W., and Tony G. (2023). The Role of Knowledge-based resources in Agile Software Development Context. The Journal of Systems & Software. doi:https://doi.org/10.1016/j.jss.2022.111572.
Imtiaz J., Zohaib I., and Uzair K. (2020). An Automated Model-based Approach to Repair Test Suite of Evolving Web Applications. The Journal of System and Software.doi:https://doi.org/10.1016/j.jss.2020.110841.
Fischbach J., Andreas V., Dominik S., and Andreas W. (2020). SPECMATE: Automated Creation of Test Cases from Acceptance Criteria. IEEE 13th International Conference on Software Testing, Validation and verification (ICST).doi: 10.1109/ICST46399.2020.00040.
Biagiola, M., et al. (2019). Web test dependency detection. in Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundation of Software Engineering. doi:https://doi.org/10.1145/3338906.3338948.
Presler-Marshall, K., E. Horton, S. Heckman, and K.T. Stolee. (2019). Wait Wait No Tell Me Analyzing Selenium Configuration Effects on Test Flakiness. 2019 IEE/ACM 14th International Workshop on Automation of Software Test (AST). doi: 10.1109/AST.2019.000-1.
Biagiola, M., et al. (2019). Diversity-Based Web Test Generation. Proceeding of 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'19). doi: 10.1145/3338906.3338970
Rosa, A. S. dan M Shalahuddin. (2013). Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek. Bandung: Informatika.dan Berorientasi Objek. Bandung: Informatika.
Roger S. Pressman. (2010). Software Engineering : A Practitioner's Approach (7th ed). New York: McGraw-Hill.
J. Sutherland. (2014). SCRUM: The Art of Doing Twice the Work in Half the Time. New York: Crown Business.
Cara Kerja, Pengertian, Konsep selenium webdriver. Retrieved September 19, 2023, from browserstack website: https://www.browserstack.com/guide/selenium-framework.
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