Keynote by Annibale Panichella (TU Delft):

Title: AI-Based Testing for the Testing Pyramid: Challenges and Opportunities

Abstract: Nowadays, Artificial intelligence (AI) plays a critical role in automating different human-intensive tasks, including software engineering tasks. Since the late 1970s, researchers have proposed automated techniques to generate test data (fuzzing) or unit-level test suites (test suite generation) automatically. Proposed techniques span from simple heuristics to more advanced AI-based techniques and evolutionary intelligence. This talk will cover our recent works in this field with particular attention to industrial domains, including integration testing, compiler fuzzing, and emerging cyber-physical systems. The talk will also highlight open challenges and research opportunities for AI-based testing.

Bio: Annibale Panichella is an Associate Professor in the Software Engineering Research Group (SERG) at Delft Universtiy of Technology (TU Delft) in the Netherlands. Within SERG, he leads the Computation Intelligence for Software Engineering Lab (CISELab), where his research focuses on advancing the fields of software testing, search-based software engineering, software testing for AI, and empirical software engineering. He is the track lead for “Testing for and with AI” at the AI4SE, TU Delft’s tenth ICAI lab, funded by JetBrains, a global leader in intelligent software development tools. Additionally, he is the principal investigator for the UBRI program at TU Delft, a pioneering joint initiative with Ripple, a leader in the Blockchain sector. He served as a program committee member for prestigious international conferences such as ICSE, ESEC/FSE, ASE, ISSTA, GECCO, and ICST, and as a reviewer for leading journals including TSE, TOSEM, TEVC, EMSE, and STVR.