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Introducing kotoba v0.0.1: Natural Language Web Testing with 6x Speed Improvement
- Introduction of kotoba v0.0.1, a Python natural language web testing tool with a significant 6x speed improvement through a staged fallback strategy and 203 pattern matching rules.
- Kotoba automates browser interactions using intuitive commands like clicking buttons, entering data, and verifying messages.
- The challenge of processing speed in natural language testing tools led to the implementation of a two-stage processing flow in kotoba.
- Comprehensive assertion types were developed for thorough test validation including text-related, element-related, URL/title, and form assertions.
- 203 pattern matching rules were implemented across categories like basic Japanese, colloquial forms, English, Chinese, and domain-specific patterns.
- Pattern matching and assertion execution engines were developed to enhance processing efficiency and test accuracy.
- Performance improvement results showcased a dramatic reduction in processing time from 300ms to 50ms with a 100% test success rate and internationalization support.
- Real-world test case examples were provided using YAML format with execution results demonstrating successful assertion functions.
- The future roadmap for kotoba includes ML-assisted pattern generation, ultimate speed optimization, and community-driven pattern database construction.
- In conclusion, kotoba v0.0.1 achieved a 6x speed improvement with 203 patterns, 100% test success rate, and multilingual support, offering high performance in web test automation.
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