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Autonomous Decentralized Semantic Based Traceability Link Recovery Framework

机译:基于自治分散语义的可追溯性链接恢复框架

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摘要

The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include 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 also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.
机译:可追溯性链接或可追溯性矩阵的自动化对于许多软件开发范例而言都很重要。反过来,由于项目开发的复杂性,分布式软件开发中可追溯性链接的恢复效率和有效性变得越来越重要,因为这包括需求的不断变化,地理位置分散的项目团队以及管理项目要素的复杂性。一个项目-时间,金钱,范围和人员。因此,实现业务目标的需求工件之间的可追溯性链接对于降低风险和确保项目成功也至关重要。本文提出了基于自治分散语义的可追溯性链路恢复(AD-STLR)体系结构。据我们所知,这是第一个使用自治的去中心化概念,DBpedia知识库,Babelnet 2.5多语言词典和语义网络的体系结构方法,用于发现不同项目工件之间的相似性以及可追溯性链接恢复的自动化。

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