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

Selection of quality parameters for software according to customer expectation is a complex task which can be prospected as a constrained multi-objective optimization and a multiple criteria decision making problem. For a Software Quality: Usability, Reliability, Complexity, Capability, Durability, Maintainability are the major factors affecting its performance. We proffer a concept of a Multi-Objective Decision making approach using Genetic Programming to appraising the Software Quality Parameters. The paper highlights estimating the Quality Parameters of Software using Multi objective Decision Making approaches and Genetic Programming. The outcome of a Multi objective fed into Genetic Programming for further mutation, to find out the perfect combination of variables of these quantities. The above work is substantiating an optimum trade-off needs to be reached in the formation of good software.

Coalescence of Evolutionary Multi-Objective Decision Making approach and Genetic Programming for Selection of Software Quality Parameter