Design and Development of Ontology Suite for Software Risk Planning, Software Risk Tracking and Software Risk Control

Abstract: Problem statement: Ontology as a conceptual courseware structure may work as a mind tool for effective teaching and as a visual navigation interface to the learning objects. Knowledge visualization is defined as the use of visual representations to transfer knowledge between at least two persons. This study presents the design, development and visualization of ontologies for Software Risk Planning, Software Risk Tracking and Software Risk Controlling. Approach: The ontologies are developed using protégé tool, an effective ontology editor and it is represented by the formal knowledge representational language OWL. In order to increase the richness of the knowledge available in the ontologies, its semantic representation is presented using ontology document generator. Finally the ontologies are effectively visualised using OntoViz. Results: The ontologies represent the domain knowledge Software Risk Planning, Software Risk Tracking and Software Risk Controlling respectively and is developed with the indention to use it as a knowledge base for effective knowledge representation, Knowledge Management and E-Learning applications. The constructed ontologies are evaluated using quantitative analysis and qualitative analysis. Conclusion: Since the average reuse ratio is 0.95, the developed ontologies are highly cohesive. Comparison of concepts and properties used in the ontologies proved that the developed ontologies are concept oriented ontology. The bot