The trend of AI-based testing is increasing day by day. It helps organizations to make testing more efficient, more effective, and smarter. Using AI-based tools and processes makes it easy for organizations to conduct software testing.
The application of AI in software testing makes the complete testing process easier, clearer, and faster. Hence, AI-based testing provides a platform for software testers to adopt AI. It helps the testers to take the testing process to a whole new level and provide quality results.
AI is the ability of machines, such as computers or robots, to perform tasks associated with natural intelligence.
Industries and domains all across the world are leveraging this latest technology, Artificial Intelligence. AI is making its way to domains that are using human skills and providing controlled results. Similarly, testers are applying AI in software testing to make the process easier and deliver more quality results.
Software testing is a program used to certify a computer program or system. It ensures that the software meets the specified needs and provides desired outcomes. Software testing helps to identify bugs in software projects and products. It is essential in producing a quality product without any issues and bugs.
Software testing is about evaluating software quality as per the pre-identified needs. Its goal is to identify and fix bugs at the early stages of software development. Software testing is not just an integral part of QA. It is also an essential aspect of the software development process cycle.
AI In Software Testing
In AI-based software testing, testers use AI and Machine Learning algorithms to test a software product. Its objective is to make the testing process more effective and smarter.
With the help of AI and ML, we can apply problem-solving and logical reasoning methods to improve the testing process. With the use of AI testing tools, testers can run tests that use data and algorithms. It helps the testers to design and execute the tests without human intelligence.
Benefits Of Applying AI In Software Testing
AI can recognize patterns and images that help to detect visual errors in apps through visual testing. It ensures that all the visual elements are attractive and work properly.
Incorporating AI in software testing makes it easy to handle repetitive tasks for more accurate results. It helps to decrease the chances of errors thus improving the overall accuracy of the tests.
Improved Test Coverage
AI-based testing can increase test coverage. It can flawlessly check memories, data tables, file contents, and internal program states. AI helps to validate the working of the program and if it delivers effective test coverage.
Efforts, Money, And Time-Saving
When there is a situation of change in the source code, testers may need to repeat software tests. Running manual tests is time-consuming and needs a lot of effort. But AI-driven tests help to manage repetitive tasks making them easier, faster, and more efficient.
AI helps to identify bugs and errors at early stages. It reduces the defects making the product free from bugs and reliable for users.
AI-Driven Software Testing Approaches
In differential testing, testers classify the differences and compare application versions over each build.
Visual testing tests the look and feel of an application. It uses screen comparison and image-based learning to validate the visuals.
Declarative testing aims to identify the purpose of the test in domain-specific or natural language. The system is responsible for deciding how to execute the test.
Self-heading automation testing auto-corrects the element selection in tests when the UI changes.
Categories Of AI-Driven Software Testing Tools
Differential tools use AI and ML algorithms to identify threats and regression. These threats may include security vulnerabilities, code-related issues, and more. Testers use differential tools for unit test automation, code scanning, etc. The tools used under this category include:
- Google OSS-Fuzz
Visual AI Testing Tools
UI layers undergo constant changes over time because companies wish to provide improved UX. This brings in the need for visual testing tools. These tools adequately test all the modifications of the UI layers. The tools used under this category include:
- Percy By BrowserStack
Declarative tools improve test automation stability and productivity. These tools use ML and AI and have compelling abilities related to:
- Robotic Process Automation ( RPA)
- Natural Language Processing (NLP)
- Model-based Test Automation (MBTA)
- Autonomous Testing Methods (AT)
These methods aim to eliminate error-prone, monotonous, and repetitive tasks by smart automation. The tools used under this category include:
- UiPath Test Suite
Testers use self-healing tools to overcome problems of reliability, flakiness, and maintenance issues. These tools are established on a record and playback mechanism. Consequently, the main engine of ML exists in the self-healing of the recorded scripts. The tools used under this category include:
How To Become An AI-Driven Software Tester
Wolf Careers Inc. offers a variety of QA and BA certificate training to its candidates. Among them, software testing training is one of the best training recommendations for you. The software testing training program is designed for beginners. This program helps you to become a well-trained and skilled IT professional. It will polish your skillset for this ever-changing field.
It includes everything you need to know to become a Software Testing professional. This course is designed by industry experts to help you learn new, in-demand tools. The course starts from the basics of software testing and moves towards advanced topics.
Software Testing Training
Our staff of industry experts has designed this course to provide training for beginners. This course will introduce you to basic software testing. You will then learn about the advanced topics like:
- Software configuration management
- Creating a test plan
- Test estimations
- Introduction and familiarity with automation testing
- QTP, QC, and other tools
After obtaining this certificate, you can work on manual and automation testing tools. Upon completion of this training, you will be able to get many related job positions in different companies. Enroll today and start your journey right away!