NDLI: SANAYOJAN : a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents

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SANAYOJAN : a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents

Content Provider	Indraprastha Institute of Information Technology, Delhi
Author	Jain, Ritika
Abstract	User requirement speci cation (URS) documents written in the form of free-form natural lan- guage text contain system use-case descriptions as one of the elements in the URS. For few application domains, some of the system use-cases in URS de ne services and functionality which needs to comply with regulations pertaining to the application domain. In this paper, we present a multi-step approach to automatically extract system use-cases from URS and construct traceability links between system-uses and appropriate regulations in the regulatory documents. We de ne lexicon-based, syntactic and semantic features to discriminate system use-cases from other elements in the URS. We investigate the application of ve semantic similarity methods implemented in the SEMILAR semantic similarity toolkit to compute similarity between a given system use-case with regulations in a regulatory document. We conduct a series of experiments on real-world data obtained from software projects of a large global Information Technology (IT) services company to validate the proposed approach. Experimental results demonstrate e ec- tiveness (accuracy of 83:3% for system use-case extraction and 72% for constructing traceability links) and limitations of the proposed approach.
File Format	PDF
Language	English
Access Restriction	Open
Subject Keyword	Mining Software Repositories Requirements Engineering Traceability Link Recovery Text Mining Natural Language Processing Regulatory Compliance
Content Type	Text
Educational Degree	Master of Technology (M.Tech.)
Resource Type	Thesis
Subject	Data processing & computer science

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