Checksum.ai is an end-to-end (E2E) automation testing tool that converts user sessions into a comprehensive testing automation pipeline for faster testing without compromising quality. The tool automatically generates and maintains E2E tests based on user sessions, reducing development time and allo...
Checksum
Automated Integration testsChecksum.ai is an end-to-end (E2E) automation testing tool that converts user sessions into a comprehensive testing automation pipeline for faster testing without compromising quality. The tool automa
About Checksum
Checksum Key Features
- Automated Integration tests
- Test automation
- Chatbot testing
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Pros and Cons of Checksum
Pros
- User session-based testing
- End-to-end automation
- Auto generates/maintains tests
- Reduces development time
- Aids in faster shipping
- Trained on production sessions
- Full coverage testing
- No maintenance required
- Adapts tests to code changes
- Quick integration process
- Seamless SDK integration
- Automatic & privacy-centric data collection
- Hashed inner texts for privacy
- Open-source framework use
- Immediate bug detection
Cons
- Requires user session recording
- Reliance on open-source testing frameworks
- Requires SDK integration
- Privacy concerns (hashed inner texts)
- Requires production environment access
- Limited customization options
- May not handle complex interfaces
- New features testing uncertainty
- Could fail to update tests
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Frequently Asked Questions About Checksum
What is Checksum.ai and what does it specialize in?
Checksum.ai is an end-to-end (E2E) automation testing tool that specializes in converting user sessions into a complete testing automation pipeline. It facilitates higher quality testing outputs and allows for faster testing without sacrificing quality.
How does Checksum.ai use user sessions in its testing process?
Checksum.ai uses user sessions to generate and maintain E2E tests. The tool is designed to reduce development time and enables teams to focus more on product development by automatically constructing E2E tests based on the user sessions.
How does Checksum.ai ensure higher quality testing output?
Checksum.ai ensures higher quality testing output by automatically transforming user sessions into a comprehensive testing automation pipeline. This aids in testing the application extensively without skipping any feature, thus preventing the introduction of new bugs and reducing the firefighting, leading to a more quality output.
What is the role of machine learning models in Checksum.ai?
Machine learning models in Checksum.ai are specifically trained on the software's production sessions allowing for full testing coverage. These models learn user behaviour from user sessions, and are used to generate tests. The ML models then conduct edge case testing and produce automated tests, thus playing a significant role in the testing process.
What are the maintenance requirements for Checksum.ai?
Checksum.ai does not require maintenance. It is designed with a self-adapting AI that adjusts and updates the tests according to the modifications in the code and flakiness.
How does the integration process for Checksum.ai work?
The integration process for Checksum.ai is designed to be fast and straightforward. It consists of integrating a Javascript SDK by pasting three lines of code when the application is launched. A seed test user is provided on the production or staging environment to generate tests.
Can you project the kind of data Checksum.ai collects for its operations?
Checksum.ai collects data similar to tools like FullStory or Hotjar, recording user sessions for training the models. All the inner texts are hashed to ensure user privacy. The tool also requires a seed test user from the production or staging environment to generate tests.
What is the role of the JavaScript SDK in Checksum.ai and how is it integrated?
The JavaScript SDK in Checksum.ai is important for integrating the tool into the application. It is as simple as pasting three lines of code when the app is mounted. This SDK helps the tool record user sessions and generate tests based on this data.
How does Checksum.ai ensure user privacy during data collection?
To ensure user privacy during data collection, Checksum.ai hashes all inner texts so no sensitive information is stored. It also offers configurable privacy controls to mask any events from sensitive elements. The tool also offers full privacy settings so sensitive elements can be masked.
What frameworks does Checksum.ai use to generate test results?
Checksum.ai uses open source frameworks such as Cypress or Playwright to generate its test results. These frameworks are commonly used for E2E testing in modern JavaScript applications.
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