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Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews

2022-06-29 14:14:54
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray
arXiv_CL
         
Abstract

We are concerned by Data Driven Requirements Engineering, and in particular the consideration of user's reviews. These online reviews are a rich source of information for extracting new needs and improvement requests. In this work, we provide an automated analysis using CamemBERT, which is a state-of-the-art language model in French. We created a multi-label classification dataset of 6000 user reviews from three applications in the Health & Fitness field. The results are encouraging and suggest that it's possible to identify automatically the reviews concerning requests for new features. Dataset is available at: this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2206.14669

PDF

https://arxiv.org/pdf/2206.14669.pdf

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