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We investigated a previously published set of research articles concerned with requirements quality, extracted quality factors and other relevant elements from eligible publications, and iteratively constructed an ontology of quality factors for natural language requirements. The documentation of the process, the resulting data set, and a web application to visualize the results are contained in this artifact bundle.
This is the first version of the requirements quality factor ontology. Certain parts, in specific the data and structure of the ontology itself, are meant to be live-extensible and will be maintained at https://github.com/JulianFrattini/gere-structure-content
Requirements Engineering, Requirements Quality, Natural Language Processing
Requirements Engineering, Requirements Quality, Natural Language Processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 16 | |
| downloads | 4 |

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