Traditionally, humans take care of tasks like test case design and results analysis for software testing. But today, many companies are using artificial intelligence and machine learning to save time and improve data analysis.
However, the process of using artificial intelligence for software testing is not always simple and straightforward. While AI can quickly and easily execute tasks that would be easy for human brains, more complex tasks may require testers to re-train the artificial intelligence. Otherwise, machine learning applications can be corrupted by false data — just like the human brain they are modeled after.
Download this whitepaper to explore:
- Artificial intelligence
- Machine learning
- The role of AI in software testing
- 7 steps of software testing
- How to design effective test cases