@misc{10481/88755,
year = {2018},
url = {https://hdl.handle.net/10481/88755},
abstract = {Software products quality assessment is a highly complex process, given the variety of criteria to consider. For a better understanding, they are organized in so-called software quality models. An important aspect of these models is their structural complexity, forming a hierarchical structure. At present, they have evolved towards the overlap and interrelation between these criteria. Modeling a general structure to represent quality models, extending the hierarchical taxonomies to form more complicated structures like graphs and taking into account the interrelation between criteria is the objective of this work. The proposed solution incorporates elements of Computational Intelligence, such as fuzzy logic, fuzzy linguistic modeling and the use of fuzzy cognitive maps (FCM). The application of this proposal in a real-world case shows that it is an operative solution, reliable, precise and of easy interpretation for its application in the industry.},
organization = {Proyecto P11-TIC-8001 del Gobierbi Autonómico de Andalucía, España (con fondos FEDER)},
organization = {Proyecto TIN2014-55024-P del Ministerio de Economía y Competitividad del Gobierno de España (con fondos FEDER)},
publisher = {Springer Nature},
title = {Modelling the interrelation among software quality criteria using computational intelligence techniques},
doi = {10.2991/ijcis.11.1.88},
author = {Fernández Pérez, Yamilis and Cruz Corona, Carlos Alberto and Verdegay Galdeano, José Luis},
}