Journal Title
Title of Journal: Requirements Eng
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Abbravation: Requirements Engineering
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Publisher
Springer London
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Authors: Anas Mahmoud Nan Niu
Publish Date: 2014/01/22
Volume: 20, Issue: 3, Pages: 281-300
Abstract
In this paper we investigate the potential benefits of utilizing natural language semantics in automated traceability link retrieval In particular we evaluate the performance of a wide spectrum of semantically enabled information retrieval methods in capturing and presenting requirements traceability links in software systems Our objectives are to gain more operational insights into these methods and to provide practical guidelines for the design and development of effective requirements tracing and management tools To achieve our research objectives we conduct an experimental analysis using three datasets from various application domains Results show that considering more semantic relations in traceability link retrieval does not necessarily lead to higher quality results Instead a more focused semantic support that targets specific semantic relations is expected to have a greater impact on the overall performance of tracing tools In addition our analysis shows that explicit semantic methods that exploit local or domainspecific sources of knowledge often achieve a more satisfactory performance than latent methods or methods that derive semantics from external or generalpurpose knowledge sources
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