1. Introduction
1.1. Purpose
To ensure the accurate identification of company traits (sector, customers, strategies, etc.) from the provided company links.
1.2. Scope
The testing will cover the end-to-end functionality of the company traits identification software, including the ML model, sublink analysis, and the overall output.
1.3. Testing Objectives
- Validate the accuracy of the ML model in identifying relevant keywords
- Ensure the sublink analysis correctly identifies location for additional company information
- Verify the aggregation and presentation of the final company traits in a formatted database-like system
1.4. Assumptions and Constraints
The ML model has been pre-trained on a representative dataset of company websites
Sufficient test data (company links) is available to cover a variety of sectors and company types
2. Test Strategy
2.1. Testing Approach
- Unit testing of the ML model, sublink analysis, and data aggregation components
- Integration testing to validate the end-to-end workflow
- System testing to evaluate the overall functionality and accuracy of the company traits identification
2.2. Test Methodology
- Black-box testing to validate the software’s external behavior
- White-box testing to ensure the internal logic and implementation are correct
2.3. Test Techniques
- Compare human results to software-generated results
- Edge case analysis for unexpected inputs
- Random testing to cover unexpected scenarios
2.4. Test Deliverables
- Test cases and test scripts
- Test execution reports
Test Environment
Hardware Requirements
Sufficient computing power to run the ML model and sublink analysis
Software Requirements
Operating system: Windows 10/11, macOS, or any modern Linux Distribution
Programming languages and frameworks: Python, TensorFlow/PyTorch
Third-Party Tools and Libraries:
- ML framework (e.g., TensorFlow, PyTorch)
- Web scraping library (Zenrows)
- Data processing and analysis tools (e.g., Pandas, Numpy)
Test Data Requirements
- A diverse set of company websites covering various sectors and company types
- Ground truth data for the expected company traits to validate the model’s accuracy
Test Cases
Test Case Design
- Identify test cases based on the software’s functional requirements
- Define test cases for both valid and invalid inputs
- Prioritize test cases based on their importance and risk
Test Execution Approach
- Automate test cases where possible to ensure repeatability and efficiency
- Perform manual testing for complex scenarios and edge cases
Test Monitoring and Control
- Track test progress and identify any roadblocks or issues
- Maintain test logs and reports for each test execution
Test Logs and Reports
- Test case execution logs
- Defect reports and their resolution status
- Final test summary report
Roles and Responsibilities
Test Team Organization
Test Manager (Oversees the entire testing process): Akshay
Test Analyst (Designs test cases and test scenarios): Victor
Test Engineer (Implements test automation and executes tests): Sheel
Quality Assurance (Validates the overall quality of the software): Kyle