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• W3015105962 abstract "Requirements identification is one of the most important phases in software engineering, as incomplete or badly specified requirements are the most common cause of project failure. In this chapter, we design a methodology to facilitate requirements identification based on software reuse. Our methodology employs our ontology-based model and is applied to functional requirements and UML diagrams. Concerning functional requirements, we apply association rule mining and heuristics to detect incomplete or missing requirements, while for UML use case and activity diagrams, we employ model matching techniques to find similar diagrams and thus allow the engineer to improve the description of the functionality and the data flow of the project." @default.
• W3015105962 created "2020-04-10" @default.
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• W3015105962 creator A5047313464 @default.
• W3015105962 date "2020-01-01" @default.
• W3015105962 modified "2023-09-25" @default.
• W3015105962 title "Mining Software Requirements" @default.
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• W3015105962 doi "https://doi.org/10.1007/978-3-030-30106-4_4" @default.
• W3015105962 hasPublicationYear "2020" @default.
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