Leveraging AI in software testing - Bahaa Al Zubaidi.pdf
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Bahaa Al Zubaidi discusses the role of artificial intelligence (AI) in automating software testing, which traditionally is a time-consuming and error-prone process. AI enhances accuracy, increases test coverage, enables visual testing, and reduces time to market, leading to more efficient and cost-effective testing strategies. Techniques such as differential testing, visual testing, declarative testing, and self-healing automation exemplify how AI can streamline the testing process.
Leveraging AI in software testing - Bahaa Al Zubaidi.pdf
- 1. Leveraging AI in software testing - Bahaa Al Zubaidi Software testing is a critical process needs it needs to identify bugs before the software is released. Advanced in Artificial Intelligence (AI) and Machine Learning (ML) technologies have ensured software testing automation is now a reality. Testing is a laborious and painstaking process with every test case having to be tested. When done manually, it puts a lot of pressure on testers. AI can ensure testing happens automatically without any manual intervention. Software testing driving by AI Test bots or AI-powered agents can help automate the test process. Bahaa Al Zubaidi mentions some of the approaches that are commonly used: ● Differential testing: It is very helpful in identifying different versions of the same software. AI allows for comparing versions to know the differences. ● Visual testing: There are image-based testing to be done where image and patterns need to be recognized. AI can help do this. ● Declarative testing: Test intent can be declared or specified in a natural or domain-specific language. ● Self-healing automation: It allows to autocorrect test elements for change in UI. Why use AI in Software Testing? 1) Accuracy is improved The accuracy of testing can be improved when AI is used. Repetitive tasks can be easily managed. The chances of errors that occur during human testing are eliminated. The overall accuracy of testing and reporting is enhanced thanks to AI. 2) Test coverage can be increased When AI is used, the coverage of testing can be substantially enhanced. Test engineers can now get better insights about contents of files, usage of memory, data tables, etc. Distinctive test cases can be used to examine behavior of databases. 3) Visual testing of UI is possible AI has the ability to recognize patterns and images. This ability allows it to be used for visual testing. This can be helpful in testing user interface controls.
- 2. 4) Faster time to market When AI is used for testing, you would be able to automate a major part of testing. As a result, the overall timelines can be reduced. This ensures a faster time to market allowing you to deliver software ahead of time. Using AI helps in decreasing overall costs and makes testing more efficient. There is no doubt that AI has revolutionized software testing. With AI and ML, testing can be done in a deeper way and can be completely quickly. The overall efficiency of the software can be increased thanks to AI-based testing. Thank you for your interest in Bahaa Al Zubaidi blogs. For more stories, please stay tuned to www.bahaaalzubaidi.com