Abstract: Context and motivation: In the railway safety-critical domain requirements documents have to abide to strict quality criteria. Rule-based natural language processing (NLP) techniques have been developed to automatically identify quality defects in natural language requirements. However, the literature is lacking empirical studies on the application of these techniques in industrial settings. Question/problem: Our goal is to investigate to which extent NLP can be practically applied to detect defects in the requirements documents of a railway si...
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Topics: 
Artificial intelligence
Natural language processing