International Journal of Software Engineering for Smart Device
| Volume 4, No. 2, 2017, pp 1-6 | ||
| Abstract |
Semantic Annotation of Software Requirements with Language Frame
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Abstract
An end user generally writes down software requirements in ambiguous expressions using natural language; hence, a software developer attuned to programming language finds it difficult to understand the meaning of the requirements. To solve this problem we define semantic categories for disambiguation and classify/annotate the requirement into the categories by using machine-learning models. We extensively use a language frame closely related to such categories for designing features to overcome the problem of insufficient training data compared to the large number of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming the previous model, REaCT.