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	ACM Digital Library
Author	Sureka, Ashish Ghaisas, Smita Jain, Ritika
Abstract	User requirement specification (URS) documents written in the form of free-form natural language text contain system use-case descriptions as one of the elements in the URS. For a few application domains, some of the system use-cases in SRS define services and functionality which needs to comply with law, rules and 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 define lexicon-based, syntactic and semantic features to discriminate system use-cases from other elements in the SRS. We investigate the application of five 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 effectiveness (accuracy of 83.3% for system use-case extraction and 72% for constructing traceability links) and limitations of the proposed approach. .
Starting Page	12
Ending Page	18
Page Count	7
File Format	PDF
ISBN	9781450328463
DOI	10.1145/2593801.2593804
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-06-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Text mining Mining software repositories Regulatory compliance Natural language processing Traceability link recovery Requirements engineering
Content Type	Text
Resource Type	Article

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