Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Softw 2020
DOI: 10.1145/3368089.3417053
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Learning to extract transaction function from requirements: an industrial case on financial software

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Cited by 3 publications
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“…By analyzing words in user requirements, we consider features that represent lexical features, syntactic features, and semantic features. Therefore, we define five categories of features for words: term feature, location feature, frequency feature, representativeness feature and importance feature 3 .…”
Section: Extract Featuresmentioning
confidence: 99%
“…By analyzing words in user requirements, we consider features that represent lexical features, syntactic features, and semantic features. Therefore, we define five categories of features for words: term feature, location feature, frequency feature, representativeness feature and importance feature 3 .…”
Section: Extract Featuresmentioning
confidence: 99%