From Auto-Generation to AI-Generation: Robustness Testing with TBrun in the Age of Agentic AI

How can AI improve robust­ness test­ing and test case gen­er­a­tion for safe­ty-crit­i­cal soft­ware? This video explains how TASKING and LDRA tool­ing can move from auto­mat­ed test case gen­er­a­tion to AI-assist­ed test gen­er­a­tion using TB Extreme Plus and TBrun. It shows how AI can help con­nect require­ments, source code, and test data to cre­ate more rel­e­vant, require­ment-dri­ven test cases while keep­ing engi­neers in con­trol of val­i­da­tion and final results.

What you will learn:

• How TB Extreme Plus uses AI to sup­port test case gen­er­a­tion
• How require­ments and source code can be used togeth­er to cre­ate bet­ter test inputs
• How TUD files help con­nect require­ments to test stim­uli
• How AI can sup­port bound­ary and nom­i­nal value extrac­tion
• How gen­er­at­ed test cases can be reviewed, export­ed, and run in TBrun
• Why human val­i­da­tion remains essen­tial in safe­ty-crit­i­cal test­ing
• How this work­flow sup­ports trace­abil­i­ty for stan­dards such as DO-178C and ISO 26262