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method identifiers are considered as normal words, even though identifiers are often a combination of two or more words. For example, there is an identifier named “randomString”. In that case, if we search using a keyword “random” the system probably will not recommend “randomString
Expert finding would be useful for a recommendation system which people want to find experts in a specific area. This paper proposes a model to identify focus research areas of computer science researchers thru their publications. We collect title, abstract and keywords of academic papers published in IEEE Xplore
specification. The Specification based testing deals with generation of test cases from the functional requirements. The proposed system deals with automatic generation of test cases from functional requirement using Natural Language Processing (NLP). The proposed system constructs test cases based on keywords in context from
Keywords or tags summarize documents on an abstract level and can also be used for describing code fragments. They might be leveraged for retrieving features of a software system, understanding program functionality, or providing additional context. While automatic approaches at best are only able to retrieve
implementations. It is hard to assess and cover all of the risk at developing assurance case. In this paper we propose a method to convert risk flow management to assurance case, and a support tool for collecting keywords for them. Our proposed method it to apply possible risks from the threat-source to harm level along with the
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