Enhancing Software Testing with Ontology Engineering Approach

This paper presents a novel hybrid framework, Software Requirement Ontologies based Test Case Generation (ReqOntoTestGen) to increase the confidence in the reliability of existing verification and validation (V&V) techniques. This framework integrates the benefits of ontology modelling with the test case generation approaches based on use case-based requirement specifications. ROO (Rabbit to OWL Ontologies Authoring) tool is used in this work to eliminate the ambiguous requirement in natural language by using Controlled Natural Language (CNL). The ontology result from this tool, then, is translated into OWL before this OWL model is mapped into the XML file of data dictionary. Test cases are generated from this XML file by using Combination of Equivalence and Classification Tree Method (CCTM). This testing technique enables the redundant test cases to be eliminated and the coverage of testing to be increased. The contribution of this work has been explored by using the real case study. The result shows how the requirement ontology enhances the testing technique as we expected.