Lunch seminar: Results from a survey about AI and testing

Artificial intelligence (AI) is becoming increasingly prevalent in software testing, as evidenced by a recent report from the World Quality Report (WQR) for the year 2019-2020. Typically, the use of AI in software testing results in a faster, better, and more budgeted testing process. Artificial intelligence-based testing, thus, provides a strategic framework for software testers to utilize AI and elevate the testing process, resulting in higher-quality results for companies. AI-based software testing refers to the leverage of AI methods and solutions to automatically optimize a software test process in test strategy selection, test generation, test selection and execution, bug detection and analysis, and quality prediction. Similarly, testing AI/ML systems/components refer to diverse testing activities for AI-based software/systems. Well-defined quality validation models, methods, techniques, and tools must be developed and applied for AI-based software to facilitate the test activities to achieve well-defined test requirements and meet adequate testing criteria.

We conducted a survey of SC organizations in project 30 to learn about their day-to-day operations in terms of AI for Testing / Testing for AI.

The results of the survey and the needs of SC companies will be discussed at this event

Speaker: Azeem Ahmad, LiU