@Article{iasc.2021.015071, AUTHOR = {Asadullah Shaikh, Abdul Hafeez, M. A. Elmagzoub, Abdullah Alghamdi, Ansar Siddique, Basit Shahzad}, TITLE = {Ontology-Based Verification of UML Class Model XOR Constraint and Dependency Relationship Constraints}, JOURNAL = {Intelligent Automation \& Soft Computing}, VOLUME = {27}, YEAR = {2021}, NUMBER = {2}, PAGES = {565--579}, URL = {http://www.techscience.com/iasc/v27n2/41254}, ISSN = {2326-005X}, ABSTRACT = {Unified Modeling Language (UML) models are considered important artifacts of model-driven engineering (MDE). This can automatically transform models to other paradigms and programming languages. If a model has bugs, then MDE can transfer these to a new code. The class model is a key component of UML that is used in analysis and design. Without a formal foundation, UML can create only graphical diagrams, making it impossible to verify properties such as satisfiability, consistency and consequences. Different techniques have been used to verify UML class models, but these do not support some important components. This paper transforms and verifies unsupported components such as XOR association constraints and dependency relationships of a UML class model through ontology. We use various UML class models to validate the proposed ontology-based method, easy and efficient transformation and verification of unsupported elements. The results show this approach can verify large and complex models.}, DOI = {10.32604/iasc.2021.015071} }