Validating Syntactic Correctness Using Unsupervised Clustering Algorithms

Validating Syntactic Correctness Using Unsupervised Clustering Algorithms

When developing a complex system in an open platform setting, users need to compose and maintain a systematic requirement specification. This paper proposes a solution to guarantee a syntactically accurate requirement specification that minimizes the ambiguity caused by ungrammatical sentences. Our...

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Bibliographic Details
Main Authors:	Sanguk Noh, Kihyun Chung, Jaebock Shim
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Electronics
Subjects:	recommendation of syntactically correct sentence unsupervised clustering algorithms autoencoding procedure software requirement specifications
Online Access:	https://www.mdpi.com/2079-9292/11/14/2113

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