Programming and Development of Web Automation Application Platform Based on Django

To improve the execution efficiency and performance of Web automation tasks, an efficient platform based on the Django framework was built. It supports various Web automation tasks, including website content capture, automatic form filling, data monitoring, and automated test execution, and is widely used in e-commerce, finance, IT operations, and more. The platform has been successfully applied in e-commerce inventory management, financial transaction monitoring, and automated testing of enterprise websites. The system adopts front-end/back-end separation and asynchronous task processing, enhancing concurrent processing and reliability. Performance tests show that with 1000 concurrent users, the platform achieves an average response time of 180ms, a throughput of 850 requests/second, and an error rate below 0.3%. Resource utilization is optimal, with peak CPU usage at 75% and maximum memory usage at 68%, demonstrating efficient resource management. For user experience, the platform uses WebSocket for real-time feedback and dynamic task monitoring, improving task processing adaptability.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3714334.3714368
Citations
2
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
0.98
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article

Programming and Development of Web Automation Application Platform Based on Django

Juan Du
2 citations
Knowledge Management and Technology
0.98
article

Programming and Development of Web Automation Application Platform Based on Django

Juan Du
article en
2 citations

Abstract

To improve the execution efficiency and performance of Web automation tasks, an efficient platform based on the Django framework was built. It supports various Web automation tasks, including website content capture, automatic form filling, data monitoring, and automated test execution, and is widely used in e-commerce, finance, IT operations, and more. The platform has been successfully applied in e-commerce inventory management, financial transaction monitoring, and automated testing of enterprise websites. The system adopts front-end/back-end separation and asynchronous task processing, enhancing concurrent processing and reliability. Performance tests show that with 1000 concurrent users, the platform achieves an average response time of 180ms, a throughput of 850 requests/second, and an error rate below 0.3%. Resource utilization is optimal, with peak CPU usage at 75% and maximum memory usage at 68%, demonstrating efficient resource management. For user experience, the platform uses WebSocket for real-time feedback and dynamic task monitoring, improving task processing adaptability.

Shandong Institute of Commerce & Technology (CN)
Openalex Percentile: Top 19%
Knowledge Management and Technology
0.98
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Programming and Development of Web Automation Application Platform Based on Django — Juan Du · (2024) | TGRS Research Map | TGRS