STAREAST 2022 - Artificial Intelligence

In this age of explosive technological acceleration, cognitive technologies are converging to redefine how knowledge is synthesized, disseminated, and analyzed.New Technology platforms and tools, new methodologies with shorter development time and a constant demand to remain competitive and innovative has put the focus back on how testing is being carried out. We have seen usage of cognitive technologies in automation and performance test which helps achieve a level of auto-healing capability. It has been observed that testing teams have evolved to cope with demand and are using AI based...

Synergies among AI and software testing include both leveraging AI for test automation, and devising methods for testing AI systems. Researchers, software vendors, and practitioners are already using AI to develop a new wave of test automation tools. These tools automatically explore, model, reason, learn, and test software applications. However, as with most AI and ML-based technologies, these tools raise concerns around whether or not we really trust and depend on them. ML-based systems tend to be highly dynamic and adaptable at runtime, thereby requiring extensive testing both offline,...