Leveraging Selenium and Cypress for Comprehensive Web Application Testing

Main Article Content

Viharika Bhimanapati
Prof (Dr.) Punit Goel
Ujjawal Jain

Abstract

In the realm of modern software development, comprehensive testing of web applications is crucial to ensure quality, performance, and user satisfaction. Automated testing frameworks like Selenium and Cypress have become pivotal in achieving these goals. This paper explores the utilization of Selenium and Cypress for web application testing, comparing their features, strengths, and limitations to provide a comprehensive overview of their capabilities and applications.
Selenium, an established open-source tool, has been a staple in web application testing since its inception. It supports multiple programming languages such as Java, C#, and Python, and is compatible with various browsers and platforms. Selenium's WebDriver component allows for the automation of complex user interactions, making it suitable for end-to-end testing. Its ability to integrate with a range of testing frameworks and tools further enhances its flexibility and usability in diverse testing scenarios. However, Selenium's setup and execution can be cumbersome, particularly when dealing with dynamic web elements and cross-browser testing.
Cypress, a newer entrant in the automated testing landscape, offers a modern approach to testing web applications. Unlike Selenium, Cypress operates directly within the browser, providing a more streamlined and efficient testing experience. Its architectural design allows for real-time reloading and debugging, which significantly accelerates the development and testing process. Cypress's integrated features, such as automatic waiting and network traffic control, simplify test writing and execution. Nevertheless, its support for only JavaScript and limited cross-browser compatibility may pose challenges for teams working with diverse tech stacks or requiring extensive browser support.
This paper delves into the comparative analysis of Selenium and Cypress, focusing on their functionalities, performance, and suitability for various testing needs. It examines the strengths of Selenium in handling complex scenarios and its broad language and browser support, juxtaposed with Cypress's advantages in speed, ease of use, and real-time feedback. Additionally, the paper addresses common challenges and best practices for leveraging these tools effectively in different testing environments.
The research highlights the importance of choosing the right tool based on project requirements, team expertise, and testing goals. For instance, Selenium’s robustness makes it ideal for large-scale projects with varied requirements, while Cypress’s simplicity and speed are advantageous for rapid development cycles and straightforward testing needs. The paper also offers practical insights into integrating these tools with continuous integration/continuous deployment (CI/CD) pipelines, enabling teams to automate and streamline their testing workflows.
In conclusion, both Selenium and Cypress have their unique strengths and are valuable assets in the toolkit of web application testers. By understanding their capabilities and limitations, development teams can make informed decisions on which tool to utilize based on their specific testing needs. The paper provides a framework for evaluating these tools and offers guidance on optimizing their use to achieve comprehensive and effective web application testing.

Article Details

How to Cite
Bhimanapati, V., Goel, P., & Jain, U. (2024). Leveraging Selenium and Cypress for Comprehensive Web Application Testing. Journal of Quantum Science and Technology, 1(1), 66–79. https://doi.org/10.36676/jqst.v1.i1.10
Section
Original Research Articles

References

Brown, J., Smith, A., & White, R. (2018). Innovations in Automated Testing: A Study of Cypress and Selenium. Journal of Software Testing, 12(3), 45-58.

Kumar, S., Jain, A., Rani, S., Ghai, D., Achampeta, S., & Raja, P. (2021, December). Enhanced SBIR based Re-Ranking and Relevance Feedback. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 7-12). IEEE.

Jain, A., Singh, J., Kumar, S., Florin-Emilian, Ț., Traian Candin, M., & Chithaluru, P. (2022). Improved recurrent neural network schema for validating digital signatures in VANET. Mathematics, 10(20), 3895.

Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1).

Misra, N. R., Kumar, S., & Jain, A. (2021, February). A review on E-waste: Fostering the need for green electronics. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 1032-1036). IEEE.

Kumar, S., Shailu, A., Jain, A., & Moparthi, N. R. (2022). Enhanced method of object tracing using extended Kalman filter via binary search algorithm. Journal of Information Technology Management, 14(Special Issue: Security and Resource Management challenges for Internet of Things), 180-199.

Harshitha, G., Kumar, S., Rani, S., & Jain, A. (2021, November). Cotton disease detection based on deep learning techniques. In 4th Smart Cities Symposium (SCS 2021) (Vol. 2021, pp. 496-501). IET.

Jain, A., Dwivedi, R., Kumar, A., & Sharma, S. (2017). Scalable design and synthesis of 3D mesh network on chip. In Proceeding of International Conference on Intelligent Communication, Control and Devices: ICICCD 2016 (pp. 661-666). Springer Singapore.

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706.

Jain, A., Bhola, A., Upadhyay, S., Singh, A., Kumar, D., & Jain, A. (2022, December). Secure and Smart Trolley Shopping System based on IoT Module. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2243-2247). IEEE.

Pandya, D., Pathak, R., Kumar, V., Jain, A., Jain, A., & Mursleen, M. (2023, May). Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 745-749). IEEE.

Rao, K. B., Bhardwaj, Y., Rao, G. E., Gurrala, J., Jain, A., & Gupta, K. (2023, December). Early Lung Cancer Prediction by AI-Inspired Algorithm. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1466-1469). IEEE.

Radwal, B. R., Sachi, S., Kumar, S., Jain, A., & Kumar, S. (2023, December). AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1-5). IEEE.

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Antara, E. F. N., Khan, S., Goel, O., "Workflow management automation: Ansible vs. Terraform", Journal of Emerging Technologies and Network Research, Vol.1, Issue 8, pp.a1-a11, 2023. Available: https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2308001

Pronoy Chopra, Om Goel, Dr. Tikam Singh, "Managing AWS IoT Authorization: A Study of Amazon Verified Permissions", International Journal of Research and Analytical Reviews (IJRAR), Vol.10, Issue 3, pp.6-23, August 2023. Available: http://www.ijrar.org/IJRAR23C3642.pdf

Shekhar, S., Jain, A., & Goel, P. (2024). Building cloud-native architectures from scratch: Best practices and challenges. International Journal of Innovative Research in Technology, 9(6), 824-829. https://ijirt.org/Article?manuscript=167455

Jain, S., Khare, A., Goel, O. G. P. P., & Singh, S. P. (2023). The Impact Of Chatgpt On Job Roles And Employment Dynamics. JETIR, 10(7), 370.

Chopra, E. P., Goel, E. O., & Jain, R., "Generative AI vs. Machine Learning in cloud environments: An analytical comparison", Journal of New Research in Development, Vol.1, Issue 3, pp.a1-a17, 2023. Available: https://tijer.org/jnrid/viewpaperforall.php?paper=JNRID2303001

• FNU Antara, Om Goel, Dr. Prerna Gupta, "Enhancing Data Quality and Efficiency in Cloud Environments: Best Practices", International Journal of Research and Analytical Reviews (IJRAR), Vol.9, Issue 3, pp.210-223, August 2022. Available: http://www.ijrar.org/IJRAR22C3154.pdf

N. Yadav, O. Goel, P. Goel, and S. P. Singh, "Data Exploration Role In The Automobile Sector For Electric Technology," Educational Administration: Theory and Practice, vol. 30, no. 5, pp. 12350-12366, 2024.

Fnu Antara, Om Goel, Dr. Sarita Gupta, "A Comparative Analysis of Innovative Cloud Data Pipeline Architectures: Snowflake vs. Azure Data Factory", International Journal of Creative Research Thoughts (IJCRT), Vol.11, Issue 4, pp.j380-j391, April 2023. Available: http://www.ijcrt.org/papers/IJCRT23A4210.pdf

Singh, S. P. & Goel, P., (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.

Goel, P., & Singh, S. P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.

Goel, P. (2021). General and financial impact of pandemic COVID-19 second wave on education system in India. Journal of Marketing and Sales Management, 5(2), [page numbers]. Mantech Publications. https://doi.org/10.ISSN: 2457-0095 (Online)

Jain, S., Khare, A., Goel, O., & Goel, P. (2023). The impact of NEP 2020 on higher education in India: A comparative study of select educational institutions before and after the implementation of the policy. International Journal of Creative Research Thoughts, 11(5), h349-h360. http://www.ijcrt.org/viewfull.php?&p_id=IJCRT2305897

Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh

Jain, S., Jain, S., Goyal, P., & Nasingh, S. P. (2018). भारतीय प्रदर्शन कला के स्वरूप आंध्र, बंगाल और गुजरात के पट-चित्र. Engineering Universe for Scientific Research and Management, 10(1). https://doi.org/10.1234/engineeringuniverse.2018.0101

Mokkapati, C; Goel, P. & Renuka A (2024). Driving Efficiency and Innovation through Cross-Functional Collaboration in Retail IT3. Journal of Quantum Science and Technology, 1(1), 35-49. DOI: https://doi.org/10.36676/jqst.v1.i1.08

Musunuri, A; Jain, A; & Goel, O (2024). Developing High-Reliability Printed Circuit Boards for Fiber Optic Systems. Journal of Quantum Science and Technology, 1(1), 50-65. DOI: https://doi.org/10.36676/jqst.v1.i1.09

Garg, D. K., & Goel, P. (2023). Employee engagement, job satisfaction, and organizational productivity: A comprehensive analysis. Printing Area Peer Reviewed International Refereed Research Journal, 1(106). ISSN 2394-5303.

Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.

Deepak Kumar Garg, Dr. Punit Goel, "Change Management in the Digital Era: Strategies and Best Practices for Effective Organizational Transformation", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.10, Issue 4, Page No pp.422-428, November 2023, Available at : http://www.ijrar.org/IJRAR23D1811.pdf

Khare, A., Khare, S., Goel, O., & Goel, P. (2024). Strategies for successful organizational change management in large digital transformation. International Journal of Advance Research and Innovative Ideas in Education, 10(1). ISSN(O)-2395-4396.

Gorrepati, N., & Tummala, S. R. (2024). A Case Report on Antiphospholipid Antibody Syndrome with Chronic Pulmonary Embolism Secondary to Deep Vein Thrombosis and Thrombocytopenia: Case report. Journal of Pharma Insights and Research, 2(2), 272-274.

Gorrepati, N., Quazi, F., Mohammed, PhD, A. S., & Avacharmal, R. (2024). Use of Nanorobots in Neuro chemotherapy diagnosis in human. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.7a880e58

Quazi, F., Mohammed, PhD, A. S., & Gorrepati, N. (2024). Transforming Treatment and Diagnosis in Healthcare through AI. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.072ffbe8

Quazi, F., Khanna, A., nalluri, S., & Gorrepati, N. (2024). Data Security & Privacy in Healthcare. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.4e2c586a

Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1

Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193

Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180

Parameshwar Reddy Kothamali, Vinod Kumar Karne, & Sai Surya Mounika Dandyala. (2024). Integrating AI and Machine Learning in Quality Assurance for Automation Engineering. International Journal for Research Publication and Seminar, 15(3), 93–102. https://doi.org/10.36676/jrps.v15.i3.1445

Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.

UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225

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