Bottest.ai
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About
Bottest.ai is a no-code automation platform for testing AI Chatbots. It offers solutions for regression, performance, AI-powered coverage, adversarial, and multi-language testing. Key features include automated test case generation, prepackaged security tests, and performance tracking. The platform caters to individuals and enterprises, with flexible deployment options and integrations. It focuses on streamlining QA testing with an emphasis on quality, integrity, and customer focus.
Platform
Task
Features
• no-code automation
• regression testing
• performance testing
• multi-language testing
• adversarial testing
• ai-powered coverage
• run prepackaged chatbot-specific security tests
• auto generate cases to expand test coverage
FAQs
What is chatbot testing?
Chatbot testing validates that an AI chatbot produces an expected output to a series of test prompts. The testing effort ensures that the chatbot delivers the promised user experience in a performant and secure manner.
How do I test a chatbot?
For effective chatbot testing, it is important to evaluate the chatbot using well-designed test cases and a repeatable process.
What are the best practices for chatbot testing?
A system that successfully tests AI chatbots must: Ensure that a chatbot generates relevant information that is correct and useful to the user.
How should chatbot test cases be defined?
AI chatbot test cases require a different approach from traditional UI testing because the LLMs that are used to power these types of bots typically do not provide identical responses to a prompt within a chatbot conversation.
Why is automation essential to software testing for chatbots?
Optimization and security verification for any production-grade AI chatbot solution is essential. Streamlining this effort for a complex enterprise deployment without automation is impossible.
How do traditional automation testing tools fall short when testing AI chatbots?
Traditional automation testing tools or automation providers leverage a set oftechniques and technologies that fall short of the requirements for the testingof chatbots.
How is chatbot testing different from traditional application testing or traditional automation testing?
AI chatbots, powered by ChatGPT or other natural language models, provide a user-friendly experience for users seeking information or initiating actions. However, they pose several unique testing challenges
What tests should be included in an artificial intelligence chatbot test suite?
Three primary areas of testing should be covered in an effective chatbot test suite in addition to the standard developer-maintained validation unit tests that are executed as part of the DevOps deployment pipeline for the bot
What are the metrics that measure the success of the chatbot testing process?
Key metrics that should be measured in automated chatbot testing include: Success rate of individual test cases as measured through a semantic evaluation against all valid test baselines.
How is the time saved statistic calculated?
The time saved statistic in the Analytics Dashboard is a rough estimate of the amount of time saved by using bottest.ai compared to traditional manual testing.
Pricing Plans
Starter
Free Plan• First 100 Test Runs
• 1 User
• 1 Bot
• 1 Suite
• 1 Environment
• 10 Tests
• 1 Baseline per Test
Individual
$25.00 / mo• 1,000/mo Test Runs
• 1 User
• 1 Bot
• 3 Suites
• 2 Environments
• 100 Tests
• 2 Baselines per Test
Professional
$250.00 / mo• 10,000/mo Test Runs
• 5 Users
• 2 Bots
• 8 Suites
• 5 Environments
• Unlimited Tests
• 5 Baselines per Test
Enterprise
Unknown Price• UnlimitedTest Runs
• UnlimitedUsers
• UnlimitedBots
• UnlimitedSuites
• UnlimitedEnvironments
• UnlimitedTests
• UnlimitedBaselines per Test
Job Opportunities
There are currently no job postings for this AI tool.
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