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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Several complexity metrics are described which are related to logicstructure, data structure and size of spreadsheet models. They primarilyconcentrate on the dispersion of cell references and cell paths. Most metricsare newly defined, while some are adapted from traditional softwareengineering. Their purpose is the identification of cells which are liable toerrors. In addition, they can be used to estimate the values of dependentprocess metrics, such as the development duration and effort, and especially toadjust the cell error rate in accordance with the contents of each individualcell, in order to accurately asses the reliability of a model. Finally, twoconceptual constructs - the reference branching condition cell and thecondition block - are discussed, aiming at improving the reliability,modifiability, auditability and comprehensibility of logical tests.

Complexity Metrics for Spreadsheet Models