Organizations have tried to speed up and optimize software testing processes with continuous releases of high-quality software but with the evolution of Artificial Intelligence (AI) enabled solutions, testing has become more challenging due to the complexity involved in testing AI systems. According to a research report, it is expected that by 2025, the value of the AI market is said to surpass US $100B.
Specifically, AI- based systems testing is essentially difficult as different input and output combinations that are fed to the system should be tested which is more towards a non-deterministic approach. Moreover, as the world is increasingly moving towards increased adoption of AI-powered smart applications, there is every need for end-to-end AI systems testing to ensure fully functional and high-performing AI systems. Hence, in order to ensure effective AI testing, TestingXperts follows an effective, and comprehensive testing strategy for testing AI systems.
Classic AB Test, Split tests, and MVT to compare variations of features
Understand API endpoints between UI, NLP, and data store
Non-functional requirements like performance, security, usability, and accessibility
|Input Data testing||
Different kinds of input values to test expected and unexpected behavior.
Perform interoperability testing with multiple devices
Perform user experience and accessibility testing
Spoon-feed the AI with specific data to test the change in its behavior
|Voice & NLP text testing||
Provide user input in the form of voice or text.
Verify its capabilities to process intent and respond with the appropriate utterances
260+Clients Served Globally
We have an in-house Tx-SmarTest (an AI-enabled comprehensive platform) that systematically caters to faster releases enabled with DevOps CI/CD implementation. This platform significantly helps to boost the software quality through production which is enabled by combining AI, ML, Deep Learning and Neural network algorithms.
We also have a dedicated team of AI testers to perform testing of any type of AI based bots. Though there are certain challenges with testing of AI bots such as difficulty with domain specific validations, uncertainty over user conversations, performance issues with solicitations, BOT security being compromised in some, ensuring multi-channel user experience, etc. But, our AI testing experts perform effective Voice and NLP text testing, API testing, UX testing DB testing to deliver a fully-functional AI bot that is ready for functioning on its own by taking inputs from users.