Discourse Structure Analysis for Requirement Mining
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In this work, we first introduce two main approaches to writing requirementsand then propose a method based on Natural Language Processingto improve requirement authoring and the overall coherence, cohesionand organization of requirement documents. We investigate the structureof requirement kernels, and then the discourse structure associated withthose kernels. This will then enable the system to accurately extractrequirements and their related contexts from texts (called requirementmining). Finally, we relate a first experimentation on requirement miningbased on texts from seven companies. An evaluation that comparesthose results with manually annotated corpora of documents is givento conclude.
Abstract
In this work, we first introduce two main approaches to writing requirementsand then propose a method based on Natural Language Processingto improve requirement authoring and the overall coherence, cohesionand organization of requirement documents. We investigate the structureof requirement kernels, and then the discourse structure associated withthose kernels. This will then enable the system to accurately extractrequirements and their related contexts from texts (called requirementmining). Finally, we relate a first experimentation on requirement miningbased on texts from seven companies. An evaluation that comparesthose results with manually annotated corpora of documents is givento conclude.
참고문헌 (33)
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