The proposed conceptual framework can be extended by incorporating domain-specific knowledge graphs and ontologies to enhance the reasoning capabilities of automated software evolution. By integrating domain-specific knowledge representations, the framework can leverage structured information about the domain, including entities, relationships, and constraints. This integration can enable more intelligent decision-making processes by allowing the system to reason about the implications of changes in the context based on domain-specific rules and constraints.
Furthermore, the framework can be extended to include rule-based reasoning engines that can apply domain-specific logic to the multimodal data sources. By incorporating rule-based systems, the framework can capture complex domain-specific requirements and constraints, guiding the automated software evolution process towards more accurate and contextually relevant outcomes.
In summary, extending the conceptual framework to integrate domain-specific knowledge and reasoning capabilities will enhance the system's ability to make informed decisions, adapt to domain-specific constraints, and generate software evolutions that align closely with the requirements and constraints of the specific domain.