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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. Our goal is to investigate to...
Natural language processing (NLP) and requirements engineering (RE) have had a long relationship, yet their combined use isn’t well established in industrial practice. This situation should soon change. The future evolution of the application of NLP technologies in RE can be viewed from four dimensions: discipline, dynamism, domain knowledge, and datasets.
In the software process, unresolved natural language (NL) ambiguities in the early requirements phases may cause problems in later stages of development. Although methods exist to detect domain-independent ambiguities, ambiguities are also influenced by the domain-specific background of the stakeholders involved in the requirements process. In this paper, we aim to estimate the degree of ambiguity...
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