Abstract

Collaborative projects in software engineering span globally. English is the primary language for interaction in software development. Native English speakers can adapt to the rigors of software engineering projects because of their familiarity with the language in code development and communications related to software development. We analyze the communications related to software collaboration using linguistic features. We mine data from online question-answer forum, Stack Overflow and evaluate machine learning approaches to classify contributors as native English speakers vs non-native English speakers.

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