The impact of AI (Artificial Intelligence) is already being seen in the world around us. AI assistants like Siri and Alexa have brought AI to homes. The potential of AI is immense and it now showing its benefits in the area of software testing.
This brings us to the question on how effective AI is in testing. If AI succeeds, then will it bring an end to QA and software testing in the future? Bahaa Al Zubaidi looks at the answers to these questions.
AI and software testing
AI is essentially a tool that is used by both developers and testers to make their work easier. AI works as an enabler by helping in the process of QA and testing. AI and Machine Learning (ML) offers various benefits to developers and testers.
Using AI can offer the following benefits:
- It makes the testing process more efficient.
- Traceability and measurability are significant benefits from AI.
- AI is part of automation that helps to enhance productivity and saves costs for organizations.
- When repetitive tasks are automated using AI, testers can be freed to take up other core tasks.
- AI would make the entire process of testing more responsive, thus enhancing the effectiveness of QA.
AI would help in taking QA to the next level. The ability of AI tools to ‘self-learn’ is a significant feature. To make the best use of AI, organizations need to create a test environment that is AI-enabled. This would allow the QA team to identify defects easily and improve the overall efficiency of the testing process.
Using AI would make the test process smarter. Doing things manually is cumbersome and creates a scope of errors. Automation improves speed and efficiency. Automatic code reviews, assessing vulnerabilities, security checks, and creating test cases are areas where AI would help in the future.
It is important that software teams do not look at AI as a competitor. AI will not replace QA, but will help make it better in many ways. This would allow testers to spend more time on critical areas like risk management, security, etc. Using AI would allow the QA team to ensure better performance of applications.
The right blend of human intellect with AI capabilities will allow the software testing process to become more robust. Redundancies can be cut down improving the time and effectiveness of testing. More importantly, AI can help software firms deliver better quality products, thereby enhancing customer experience.
Thank you for your interest in Bahaa Al Zubaidi blogs. For more stories, please stay tuned to www.bahaaalzubaidi.com