The latest developments in AI and advanced algorithms for Generative Engineering and Design have led to wide landscape of different approaches and new software tools. These tools differ in their systematics and areas of applications as well as opportunities for establishing new processes and methodologies in engineering design. The consideration and integration of driving technologies for applications such as topology optimization, design space exploration and design automation are incorporated in different ways. Therefore, a clear structure and procedural model is necessary to provide a methodological guideline with respect to potentials and limitations for engineering tasks. Building on previous work and based on an analysis of existing software tools, the consideration of use case requirements, general principles, and technology trends, this paper extends an approach to structure and compare different tools especially for (mechanical) engineering applications. For each stage inside the design process, specific user needs, features and software characteristics are described. The focus is on how and which interactions between users and software are necessary and which functionalities and tasks the software must provide. The analysis is not limited to existing approaches. Future developments streams in the field are considered. The findings are validated using two commercial software applications.