The main goal of the workshop GenSE’26 is to discuss the newest developments in the area of generative artificial intelligence in the context of software engineering and their practical applications. In order to successfully apply generative AI methods in software engineering, it is particularly important to analyze and critically reflect on issues about the trustworthiness and robustness of this technology. To overcome these issues, one of the main topics of the workshop was selected to be neurosymbolic methods, i.e. those methods that combine subsymbolic (machine learning) with symbolic approaches (e.g. knowledge representation and inference based on symbolic logic) to improve the reliability of generative AI methods.
Ruiz-Torrubiano et al. (Thu,) studied this question.