2019
DOI: 10.1016/j.infsof.2019.01.011
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GuideGen: An approach for keeping requirements and acceptance tests aligned via automatically generated guidance

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Cited by 8 publications
(6 citation statements)
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References 24 publications
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“…Robeer et al [32] propose the Visual Narrator tool that generates conceptual models from user stories by combining several NLP heuristics. Hotomski and Glinz [33] propose the GuideGen approach that generates natural language guidance when the acceptance test needs to be aligned with the requirements definitions. Gemkow et al [6] propose a method for glossary term extraction from largescale requirements documents by using several NLP techniques and statistical filtering.…”
Section: Nlp For Requirements Engineeringmentioning
confidence: 99%
“…Robeer et al [32] propose the Visual Narrator tool that generates conceptual models from user stories by combining several NLP heuristics. Hotomski and Glinz [33] propose the GuideGen approach that generates natural language guidance when the acceptance test needs to be aligned with the requirements definitions. Gemkow et al [6] propose a method for glossary term extraction from largescale requirements documents by using several NLP techniques and statistical filtering.…”
Section: Nlp For Requirements Engineeringmentioning
confidence: 99%
“…GuideGen 1 is a tool-supported approach for automatically generating guidance on how to update acceptance tests when their corresponding requirements change [6], [10]. To make this paper more self-contained, we briefly describe the Guide-Gen method and tool with a running example from the healthcare domain.…”
Section: Guidegenmentioning
confidence: 99%
“…A list of suggestions generated by GuideGen the warning flag from the list of requirements. More details about the GuideGen tool can be found in [10].…”
Section: Guidegenmentioning
confidence: 99%
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“…Finalmente se realizó el análisis cualitativo en función al tipo de estudio que llevan adelante cada uno de los artículos seleccionados. Así, se destacan las propuestas de GuideGuen [47] y AGILUS pues en ambos casos las herramientas fueron evaluadas en estudios de casos donde los actores formaban parte de empresas de desarrollo de software.…”
Section: Análisis Cualitativounclassified