Natural-Language Neutrality in Programming Languages: Bridging the Knowledge Divide in Software Engineering

摘要

This paper introduces an approach to allow English Language Learners (ELLs) to collaborate in the Software Engineering field using their individual native languages. Natural-Language Neutrality (NLN) aims to bridge the Knowledge Divide in Software Engineering by providing tools and methodologies to allow speakers of different Natural Languages to learn, practice and collaborate in an environment that is Natural-Language agnostic. A Knowledge Divide in Software Engineering is constituted by the differences in the knowledge assimilation capability, between native English-speakers and ELLs, due to the English-language barrier. NLN intends to provide standardized methods to enable already-existing and new Programming Languages to be accessible to learners in their Natural-language context. The tools created to achieve this purpose, Glotter, dotation and the Collaborative Model, are described.