Semantic Approach for Traceability Link Recovery using Uniform Resource Identifier (STURI)

The efficiency and effectiveness of traceability link recovery in requirements management is becoming increasingly important within Requirement Engineering due to the complexity of project developments, such as continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project time, money, scope and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is so critical to reducing the risk and ensuring the success of products. To that end, this paper proposes a semantic based traceability link recovery (STURI) architecture that presents the meaning of texts in Uniform Resource Identifier derived from Linked Data. To the best of our knowledge, this is the first architectural approach that uses Uniform Resource Identifier for finding similarities among requirements and among the automation of the recovery traceability. Keywords-Semantic Web, NLP, Linked Open Data, Document Similarity, Uniform Resource Identifier