Artificial Intelligence (AI) is a technology that is advancing fast. It may soon have significant impacts on software QA, and, likewise, on our everyday lives.
What is Artificial Intelligence
AI traditionally refers to an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language. These traits allow AI to bring immense socio-economic opportunities while also posing ethical and socio-economic challenges.
AI systems commonly demonstrate behaviors associated with human intelligence. For instance, planning, learning, reasoning, and problem-solving. It also shows knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.
General AI is an adaptable type of intellect found in humans. It is a flexible form of intelligence capable of learning how to carry out vastly different tasks. Narrow AI, on the other hand, refer to intelligent computer systems.
Artificial Intelligence and Quality Assurance
The implementation of artificial intelligence in software quality assurance is still in its early stages. Applying AI in software testing tools concentrates on formulating an easier software development life cycle. AI can aid in automating and reducing time-consuming tasks required in the software development and testing processes.
Software testing tools are using automation. However,they have limitations. Artificial intelligence removes these limitations. AI allows software automated testing tools to be more valuable to software testers and developers.
Benefits of AI in Software Quality Assurance
AI Improves Accuracy
Software testers, being humans, are prone to mistakes. Regardless of how careful they are in executing their tasks, mistakes can still happen. However, with the implementation of AI in software quality assurance, errors are reduced if not eliminated. Therefore making test results more accurate and reliable.
AI Surpasses Manual Testing Limitations
It is not possible to perform testing on a controlled web application, especially with a large number of users, with manual testing. However, with artificial intelligence and automation, tests may be executed with even more than a thousand virtual users. Hence, with less effort, time, and cost.
AI Increases Test Coverage
The overall scope and depth of tests are increased with artificial intelligence. Therefore, resulting in the overall improvement of software quality.
Time to Market is Faster
Applying automation and artificial intelligence in software testing can make the execution of tests faster. Hence, saving more time and reducing cost. Therefore making time to market more quickly.
AI Benefits Both the Testers and Developers
AI increases the confidence of both the developers and testers. With the use of automation and artificial intelligence in the execution of their tasks, results are more accurate and reliable. This is a significant factor in making the software QA teams more confident and efficient.
The words “Artificial Intelligence” may sound too overwhelming for most people. However, it cannot be denied that artificial intelligence is now fast becoming a part of our lives. A lot of appliances we use in our homes use AI. Siri and Alexa are examples of such technology.
In software testing and development, AI means more accurate results, faster completion of tasks; more time saved, and reduced project costs.