Analyzing and syntactically validating UML models from non-editable formats is a highly complex and advanced challenge. This project involves developing a tool that can read UML models (e.g., Use Case, Class Diagram, ER Diagram, Sequence Diagram) from fixed formats such as JPEG, digitally reconstruct the model, and check its validity. The focus is on exploring methods to interpret and analyze these models, reconstruct their structure, and assess their correctness.
Given the advanced nature of the task, the project encourages a thorough exploration of potential approaches, evaluating their feasibility, and pushing the boundaries of what is achievable. While the problem is challenging, the goal is to make meaningful progress and critically assess the strengths and limitations of the chosen methods.
Technologies: UML; Azure Cloud Services; Computer Vision
Tags: Research; UML; Image Analysis; Berger
