The week's pick
Reseach Article
Coalescence of Evolutionary Multi-Objective Decision Making approach and Genetic Programming for Selection of Software Quality Parameter
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 11 |
| Year of Publication: 2014 |
| Authors: Manuj Darbari, Himanshu Pandey, V.k Singh, Gaurav Kumar Srivastava |
10.5120/ijais14-451255
|
Manuj Darbari, Himanshu Pandey, V.k Singh, Gaurav Kumar Srivastava . Coalescence of Evolutionary Multi-Objective Decision Making approach and Genetic Programming for Selection of Software Quality Parameter. International Journal of Applied Information Systems. 7, 11 ( November 2014), 18-22. DOI=10.5120/ijais14-451255
Abstract
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.
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