Design Automation: Term Definition and Methodical Analysis for Software Selection

Abstract

This paper presents a comprehensive methodology for evaluating and selecting design
automation (DA) software tailored to the needs of mechanical engineering applications. As the
demands on product properties, life cycles, and variant diversity increase, the integration of
advanced technologies such as additive manufacturing (AM) and DA becomes crucial. A thorough
literature review was conducted to compile and define key terms related to DA, followed by the
creation of a list of relevant software. This software was then analysed and clustered based on
key criteria including user interface, application, design scripting, storage method, integration,
and sales model. The clustering results were visualized using Venn diagrams and portfolio
matrices to provide clear decision-making tools for engineers and companies. The analysis
highlights the prevalence of CAD/graphical user interfaces and the growing trend towards cloud
based and subscription-model software. Design scripting emerged as a key differentiator in DA
software, offering advanced functionalities that are becoming increasingly important in complex
engineering environments. This paper offers a practical guide for selecting the most appropriate
DA software, tailored to specific industrial needs, and addresses the current gaps in systematic
software evaluation.