AI-Driven Web Application Automated Testing and Code Optimization
Deep learning has revolutionized web application testing and code optimization. Our innovative model combines automatic test generation with code quality evaluation, showing remarkable improvements. Testing efficiency increased 5.2 -fold with 93.2% code coverage, while system efficiency improved by 42.3%. Validation across 1000 projects demonstrated 47.2% faster response times and 35.8% better resource utilization. The solution features adaptive testing and intelligent refactoring, particularly benefiting large-scale applications. This comprehensive approach enhances development efficiency and reduces maintenance costs, providing practical value for software teams.
Authors
- Junbang Ma
Institutions
- Systems Engineering Society of China (CN)
Publication Details
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1109/ainit65432.2025.11035018
- Citations
- 1
- Primary Topic
- Software Testing and Debugging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.31