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Younes Abdeahad

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Articles

Accurate and robust ambiguity detection in software requirements documents using a GloVe-BiLSTM deep learning framework with data augmentation

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By Reza Sheibani, Mohammad Hossein Moattar, Younes Abdeahad, Yalda Kheirkhah, Esmaeil Kheirkhah
| Nature Verified
Abstract Requirements engineering is an important part of software production, maintenance, and development. Requirements engineering documents are typically written in natural language, which is prone to uncertainties, and identification of these ambiguities is essential for successful software development. Nevertheless, categorizing and identifying these uncertainties by human experts is both time-consuming and expensive. Automating this procedure improves precision and lowers costs.
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