- The role of regression testing in software testing is visible. It is a set of tests which ensures that previously developed software is performing well after introducing the changes.
- Machine Vision includes technologies, software and hardware products, integrated systems, methods and actions.
- Intelligent test case generation, which defines software test cases as a foundational aspect of software development, is a crucial area where AI plays a prominent role.
COVID-19 vaccine is likely to be introduced in the market. Artificial Intelligence is transforming the drug discovery market, and it has helped us to get the most awaited news. An Indian vaccine manufacturer has come with the announcement of Covishield, a low-cost COVID19 vaccine. The world of software has become more distributed and sophisticated. Thousands of companies that have invested in their software capabilities are now struggling with the complexities of modern software development and deployment. Another group of companies, which has introduced AI and ML in their coding work, is doing their testing and quality analysis with ease. However, we are going to discuss the role of AI in software quality testing today. This technology is playing a significant role in software quality testing.
Companies are recruiting certified professionals to write their testing scripts. These professionals are carrying an equal range of skills to the developers who coded the original applications. Regression testing is a set of tests which ensures that previously developed software is performing well after introducing the changes. It has turned into an ideal choice for professionals with artificial intelligence certification. Test automation is frequently involved as regression test suites find defects every time. However, there are situations when change impact analysis is performed to determine an appropriate subset of tests.
The processes and technologies used to provide imaging-based automatic inspection and process control analysis are called Machine Vision or MV. Known as a systems engineering discipline, MV includes technologies, software and hardware products, integrated systems, methods and actions. The MV process includes planning the details of the requirements and project and then creating a solution. It starts with imaging, which followed by automated analysis of the image and extraction of the required information.
The bottom line
Intelligent test case generation is the other area where AI plays a prominent role. It defines software test cases as a foundational aspect of the software development process. Artificial neural networks show a significant role in adapting big datasets to regression test plan design.
Associating AI for web element location makes the test easier and less time-consuming. Element location with the use of AI has been incorporated into the open-source mobile testing framework Appium. Technology is changing day by day. AI is most likely to take over those activities for tackling problems that require deeper context. So, the popularity of artificial intelligence courses is growing.
About the Author: Rajib Kar is a technical content developer at Multisoft Systems and loves to write about the recent developments of corporate training. He is carrying seven years of work experience in this domain.