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

In Software Product Line Engineering (SPLE) families of systems are designed,rather than developing the individual systems independently. CombinatorialInteraction Testing has proven to be effective for testing in the context ofSPLE, where a representative subset of products is chosen for testing in placeof the complete family. Such a subset of products can be determined bycomputing a so called t-wise Covering Array (tCA), whose computation isNP-complete. Recently, reduction rules that exploit basic feature modelanalysis have been proposed that reduce the number of elements that need to beconsidered during the computation of tCAs for Software Product Lines (SPLs). Weapplied these rules to CASA, a simulated annealing algorithm for tCA generationfor SPLs. We evaluated the adapted version of CASA using 133 publicly availablefeature models and could record on average a speedup of $61.8\%$ of medianexecution time, while at the same time preserving the coverage of the generatedarray.

Improving CASA Runtime Performance by Exploiting Basic Feature Model Analysis