English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We describe a particular notion of traceability, namely the traceability between model variables and text passages in an informal requirement and discuss the usefulness of this concept, as it establishes a natural connection between formal and informal requirements. The traceability can be established in an semi-automated way by using the algorithm presented in this paper, which combines two metrics to match parts of the informal requirements to model variables. The first metric is purely text based and uses the Levenshtein distance, the second metric measures the semantical distance of concepts by using the Wu and Palmer measure and the WordNet ontology. The algorithm makes suggestions to the requirements engineer based on a combined score of these two measures. The suggested approach has been implemented in a tool and is studied in a small

Tracing of Informal and Formal Requirements through Model Variables - SKY 2015 Challenge