Artificial Intelligence (AI) has a long tradition in software and requirements engineering (RE). Over the years, many AI techniques have been employed to represent and analyze requirements, ranging from knowledge representation and reasoning in the 1980s to the use of natural language (NL) processing, machine learning, and deep learning since the 2000s. AI techniques have been successfully applied in practice, for example, to manage large-volume requirements.1
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Requirements Engineering in the Days of Artificial Intelligence
Semantic Scholar · Computer Science · 2020
Abstract
Artificial Intelligence (AI) has a long tradition in software and requirements engineering (RE). Over the years, many AI techniques have been employed to represent and analyze requirements, ranging from knowledge representation and reasoning in the 1980s to the use of natural language (NL) processing, machine learning, and deep learning since the 2000s. AI techniques have been successfully applied in practice, for example, to manage large-volume requirements.1