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International KIET Journal <strong>of</strong> S<strong>of</strong>tware <strong>and</strong> Communication Technologies (IKJSCT)Volume 1, Issue 1, pp: 7-15, April 2013ISO/IEC9126-1[14]ISO/IEC9126-4[15]interactive system. Defines Usability as externalattribute <strong>of</strong> s<strong>of</strong>tware quality. Defines the Usability as ―quality inuse‖. Provides difference between internal<strong>and</strong> external quality in use.In evaluating the Usability five factors are usedhere: Learnability Underst<strong>and</strong>ability Attractiveness Operability Usability compliance with user guidesUsability depends on context in which s<strong>of</strong>twareis used. In evaluating the Usability mainly threefactors are used:EffectivenessProductivitySafetyTable 2 — Evaluation approaches <strong>of</strong> variousmodels3.3 Neural network based modelsHere the description <strong>of</strong> models is given which usesthe neural network approach for evaluating theUsability models use neural networks approach forevaluating the Usability. These models are asfollows:3.3.1 K<strong>of</strong>fka et al [17]Here, authors propose the neural network basedmodel for measuring the Usability <strong>of</strong> ecommercesystems. Mainly the model is proposed forevaluating the Usability <strong>of</strong> B2C eCommerce webservices. Glowworm swarm optimization (GSO)neural networks-based model is used here.3.3.2 Márcioe [18]Here, author proposed a model for estimating theUsability <strong>of</strong> s<strong>of</strong>tware industrial automation whichuses the artificial neural networks. This modelconsiders the Usability as crucial need <strong>of</strong> anys<strong>of</strong>tware industry. Due to the higher complexity <strong>of</strong>today s<strong>of</strong>tware industry this model uses theartificial neural network technology.3.4 Fuzzy based modelsSome models use Fuzzy approach for evaluatingthe Usability empirically. These models are asfollows:3.4.1 Sharma et al [19]Here, authors provide some important factorsinfluencing the Usability <strong>of</strong> object oriented system.This paper also defines a model for Usabilityevaluation with the help <strong>of</strong> s<strong>of</strong>t computingtechnique. This uses the fuzzy logic approach todetermine the Usability <strong>of</strong> object oriented s<strong>of</strong>twaresystem. The sub-characteristics considered here areeffectiveness, efficiency, satisfaction, <strong>and</strong>learnability.3.4.2 Sanjay et al [20]Here authors propose the new model for measuringthe Usability <strong>of</strong> s<strong>of</strong>tware using fuzzy AHPtechnique. This proposed method uses the existingmodel 9241 as the base model <strong>and</strong> augmented thenew factor learnability to this existing model. Thismodel considers the Usability as an importantparameter <strong>of</strong> interactive s<strong>of</strong>tware system. But herethis model is limited to use only object orientedmethodology for designing the s<strong>of</strong>tware. This canbe validated by other methodologies. This proposedmodel considers the following factors <strong>and</strong> subfactors <strong>of</strong> Usability in hierarchical form shown infigure1:10 | P a g e
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